Pratik Bhadane
307beeca02
Prepare the first public 1.0.0 release and finish the remaining CI hardening work. Highlights: - align Python, Rust, WASM, Conda, API, MCP, and docs version metadata to 1.0.0 - promote package metadata to Production/Stable and update stability/versioning docs for the stable series - move the accumulated Unreleased notes into a dated 1.0.0 changelog section and keep a fresh top-level Unreleased block - strengthen the changelog checker so it validates a single top-level Unreleased section - fix the CI/package support mismatch by declaring Python >=3.10 consistently and gating pandas-ta extras to Python 3.12+ - restore Sphinx autodoc compatibility for documented ferro_ta.<module> imports by registering module aliases - make the TA-Lib benchmark guardrail less flaky by checking median and tail-percentile speedups instead of failing on a single mild outlier - switch PyPI publishing to OIDC-only trusted publishing and wire the changelog check into the required CI gate - apply the Ruff-driven cleanup across the Python and test tree and refresh uv/cargo lockfiles Validated locally: - python3 scripts/check_changelog.py - uv run --with ruff ruff check python tests - uv run --with ruff ruff format --check python tests - uv lock --check - sphinx-build -b html docs docs/_build -W --keep-going - build/install the ferro_ta 1.0.0 wheel successfully
53 lines
1.5 KiB
YAML
53 lines
1.5 KiB
YAML
{% set name = "ferro-ta" %}
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{% set version = "1.0.0" %}
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package:
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name: {{ name|lower }}
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version: {{ version }}
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source:
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# Build from PyPI wheel (simplest approach; no Rust toolchain required).
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# Replace with url/sha256 of the specific wheel for your platform or
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# use `pip_install: true` to let conda-build fetch it.
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pip_install: true
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packages:
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- ferro-ta=={{ version }}
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build:
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number: 0
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# Use noarch: python only if wheels are already compiled. For source builds
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# remove noarch and add the maturin build steps below.
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noarch: python
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script: |
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{{ PYTHON }} -m pip install ferro-ta=={{ version }} --no-deps --ignore-installed -vv
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requirements:
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host:
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- python
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- pip
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run:
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- python >=3.10
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- numpy >=1.20
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test:
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imports:
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- ferro_ta
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commands:
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- python -c "from ferro_ta import SMA, RSI; import numpy as np; print(SMA(np.array([1.0,2.0,3.0,4.0,5.0]), timeperiod=3))"
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about:
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home: https://github.com/pratikbhadane24/ferro-ta
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license: MIT
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license_family: MIT
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summary: A fast Technical Analysis library — TA-Lib alternative powered by Rust and PyO3
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description: |
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ferro-ta is a drop-in TA-Lib alternative with pre-compiled wheels for all
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major platforms. It provides 155+ indicators via a Rust core and PyO3
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bindings, with optional pandas / streaming APIs.
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doc_url: https://github.com/pratikbhadane24/ferro-ta
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dev_url: https://github.com/pratikbhadane24/ferro-ta
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extra:
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recipe-maintainers:
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- pratikbhadane24
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