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orion-py-client

library0.1.14pypiunverified

The `orion-py-client` is a Python client library developed by Meesho, designed to interact with the Orion Feature Store. Its primary function is to facilitate the pushing and producing of model features, as well as retrieving features' metadata. It aims to integrate machine learning workflows with the Orion Feature Store platform.

data ai-ml

pip install orion-py-client

INSTALL

IMPORT

SIG · ORION-PY-CLIENT

orion-py-client

dataenv0.1.14

Install

2.1s avg

Import

—

Disk

19MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.1.14 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

installs and imports cleanly · install 0.0s · import 0.000s · 20.5MB

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 2.1s · import 0.000s · 21MB

19MB installed

● package 19MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

OrionClient

✓ from orion_py_client import OrionClient

Feature

✓ from orion_py_client.models import Feature

Assumed path based on common package structure for data models.

Initializes the OrionClient and demonstrates placeholder operations for pushing features and retrieving feature metadata. Replace environment variables with your actual Orion Feature Store URL and API Key. The exact API methods and data structures for feature interaction are inferred based on the library's summary, as detailed documentation is not publicly available.

import os from orion_py_client import OrionClient # Placeholder for Orion Feature Store URL and API Key ORION_API_URL = os.environ.get('ORION_API_URL', 'http://localhost:8080') ORION_API_KEY = os.environ.get('ORION_API_KEY', 'your_api_key_here') try: client = OrionClient(api_url=ORION_API_URL, api_key=ORION_API_KEY) print(f"Successfully initialized OrionClient for {ORION_API_URL}") # Example: Push a feature (assuming a 'Feature' model exists) # This part is illustrative as exact data model and push method are not publicly documented. feature_data = { "feature_name": "user_login_count", "entity_id": "user_123", "value": 15, "timestamp": "2026-04-16T10:00:00Z" } # Assuming a method like 'push_feature' or 'produce_feature' # response = client.push_feature(feature_data) # print(f"Pushed feature: {response}") # Example: Get feature metadata # metadata = client.get_feature_metadata(feature_name="user_login_count") # print(f"Feature metadata: {metadata}") except Exception as e: print(f"An error occurred: {e}") print("Please ensure ORION_API_URL and ORION_API_KEY are correctly set.")

Debug

Known issues

gotchaPublic documentation for `orion-py-client` is scarce, making precise API usage and potential breaking changes difficult to ascertain without access to the internal Meesho project. Information regarding detailed API methods, data models, and specific integration patterns is largely inferred from the PyPI summary.

fix

Consult internal Meesho documentation or source code if available. Rely on PyPI summary and typical Python client patterns for initial integration.

affects: All versions

breakingAs a client library, breaking changes in the underlying Orion Feature Store API could lead to unexpected behavior or failures, even without a new client release. Always verify compatibility if the backend service is updated.

fix

Monitor Orion Feature Store backend release notes. Implement robust error handling and API versioning if supported by the Feature Store.

affects: All versions

gotchaAuthentication relies on an API key and URL. Incorrect or expired credentials will result in connection failures or unauthorized access errors, which may not always be clearly distinguished without verbose logging from the service.

fix

Ensure `ORION_API_URL` and `ORION_API_KEY` are correctly configured and have the necessary permissions. Implement retry logic for transient connection issues.

affects: All versions

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'orion_py_client'

The `orion-py-client` package is not installed in the current Python environment.

fix

Run `pip install orion-py-client` to install the package.

An error occurred: Authentication failed (or similar connection error)

The provided `ORION_API_KEY` is incorrect, expired, or the `ORION_API_URL` is inaccessible or wrong. The client could not establish a connection or authenticate with the Orion Feature Store.

fix

Verify that `ORION_API_URL` points to the correct endpoint and `ORION_API_KEY` is valid and active. Check network connectivity to the Orion Feature Store. Consult your Orion Feature Store administrator for valid credentials.

AttributeError: 'OrionClient' object has no attribute 'push_feature'

The method name `push_feature` (or similar, like `produce_feature`) used in the quickstart example might not be the actual method name exposed by the `OrionClient` class. This could be due to inferred API names.

fix

Refer to the actual source code or internal documentation of the `orion-py-client` to find the correct method names for interacting with features. If no documentation is available, inspect the `OrionClient` object's methods at runtime (e.g., using `dir(client)` or an IDE's autocomplete).

Upgrade

Version history

0.1.14latest on PyPI · released Sep 5, 2025

Audit

Dependencies

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Agent activity

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