Remove conda distribution support

.github/workflows/distribute.yml

@@ -1,9 +1,8 @@
 name: Distribute on release
 
 # Fans a published GitHub Release out to the channels that need a nudge.
-# PyPI is handled by publish.yml; the conda-forge channel is handled by its
-# autotick bot. This workflow updates the repository recipe and event-drives
-# the three channels that would otherwise be manual:
+# PyPI is handled by publish.yml. This workflow event-drives the three channels
+# that would otherwise be manual:
 #   - Homebrew tap: rewrite the formula's url + sha256 to the new sdist.
 #   - HF Space: factory-rebuild so it reinstalls the latest sdist from PyPI.
 #   - ComfyUI: sync, test, and publish the node against the exact library release.
@@ -89,34 +88,6 @@ jobs:
           git commit -m "remove-ai-watermarks $VERSION" || { echo "Formula already current"; exit 0; }
           git push
 
-  conda-recipe:
-    needs: resolve
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-    steps:
-      - name: Checkout main
-        uses: actions/checkout@v7
-        with:
-          ref: main
-      - name: Bump the repository conda recipe
-        env:
-          SHA: ${{ needs.resolve.outputs.sha }}
-          VERSION: ${{ needs.resolve.outputs.version }}
-        run: |
-          set -euo pipefail
-          python scripts/sync_conda_recipe.py --version "$VERSION" --sha256 "$SHA"
-          git diff --check
-          if git diff --quiet -- packaging/conda/recipe.yaml; then
-            echo "Conda recipe already current"
-            exit 0
-          fi
-          git config user.name "github-actions[bot]"
-          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
-          git add packaging/conda/recipe.yaml
-          git commit -m "Sync conda recipe with v$VERSION"
-          git push
-
   hf-space:
     needs: resolve
     runs-on: ubuntu-latest

docs/release-and-distribution.md

@@ -43,25 +43,14 @@ PyPI API token from the repository.
 waits for the matching source distribution to appear on PyPI, then:
 
 - updates the Homebrew tap formula URL and SHA-256;
-- updates the repository conda recipe version and source-distribution SHA-256;
 - triggers a factory rebuild of the Hugging Face Space.
 
 The workflow can also be started manually with an optional version input.
-Conda-forge updates are outside this workflow.
 
 If a distribution job fails because a repository or Hugging Face credential is
 invalid, rotate the corresponding GitHub secret and rerun the failed job. A
 manual Homebrew formula update is the fallback when its automation is blocked.
 
-The conda job uses the published artifact rather than a locally built archive
-as the hash source and commits the resulting recipe change to `main`. Runtime
-dependency mapping remains review-controlled: keep it aligned with the default
-metadata dependencies in `pyproject.toml`, do not copy optional pixel extras
-into the default recipe, and document any conda-forge package that is
-unavailable and must be omitted.
-The optional `video` extra carries PyAV with Python-version-specific bounds; it
-does not belong in the default metadata-focused conda recipe.
-
 ## Source distribution boundary
 
 The wheel includes the package under `src/`.
@@ -83,8 +72,6 @@ The package uses hatchling through the unpinned `hatchling` build requirement in
 
 ## Other channels
 
-The repository includes a conda recipe under `packaging/conda/recipe.yaml`.
-
 The ComfyUI nodes are maintained and versioned in their own repository. After
 the matching source distribution appears on PyPI, `distribute.yml` dispatches
 that repository's sync workflow with the exact library version and waits for it
@@ -112,7 +99,5 @@ After publication, verify:
 - the package version matches the tag;
 - the Homebrew formula points to the new source distribution;
 - the distribution workflow completed successfully;
-- the repository's conda recipe matches the published version and source
-  distribution;
 - the ComfyUI Registry node requires the new library version;
 - a clean install can run `remove-ai-watermarks --version`.

packaging/conda/recipe.yaml

@@ -1,62 +0,0 @@
-schema_version: 1
-
-context:
-  version: "0.26.1"
-  python_min: "3.10"
-
-package:
-  name: remove-ai-watermarks
-  version: ${{ version }}
-
-source:
-  url: https://pypi.org/packages/source/r/remove-ai-watermarks/remove_ai_watermarks-${{ version }}.tar.gz
-  sha256: 4557e10fa2856451df896d87e0158d0232ea5cad90e2c4f2d1359766ac18873b
-
-build:
-  noarch: python
-  number: 0
-  script: python -m pip install . -vv --no-deps --no-build-isolation
-
-requirements:
-  host:
-    - python ${{ python_min }}.*
-    - pip
-    - hatchling
-  run:
-    - python >=${{ python_min }}
-    - pillow >=10.0.0
-    - piexif >=1.1.3
-    - click >=8.0.0
-    - python-dotenv >=1.0.0
-    # c2pa-python is a default PyPI dependency but is not packaged on conda-forge.
-    # The guarded import falls back to the built-in C2PA byte scanner when it is
-    # absent. Add it here once a c2pa-python feedstock exists.
-
-tests:
-  - python:
-      imports:
-        - remove_ai_watermarks
-        - remove_ai_watermarks.identify
-        - remove_ai_watermarks.metadata
-      python_version: ${{ python_min }}.*
-      # pip_check defaults to true; disable it explicitly. `pip check` fails on
-      # the conda-forge piexif `py_2` build, whose stale 2019 metadata pip reads
-      # as "piexif 1.1.3 is not supported on this platform" -- even though the
-      # package installs, imports, and works. The imports test verifies loading.
-      pip_check: false
-
-about:
-  homepage: https://github.com/wiltodelta/remove-ai-watermarks
-  summary: Inspect and strip AI provenance metadata from media
-  description: |
-    Inspect and strip AI-provenance metadata (C2PA, EXIF, IPTC, and PNG text
-    chunks) from images and supported video containers. Optional pip extras add
-    visible watermark removal, video processing, SynthID diffusion removal, and
-    additional invisible-watermark detectors.
-  license: Apache-2.0
-  license_file: LICENSE
-  repository: https://github.com/wiltodelta/remove-ai-watermarks
-
-extra:
-  recipe-maintainers:
-    - wiltodelta

scripts/sync_conda_recipe.py

@@ -1,53 +0,0 @@
-"""Update the conda recipe to a published package version and sdist hash."""
-
-from __future__ import annotations
-
-import argparse
-import logging
-import re
-from pathlib import Path
-
-log = logging.getLogger(__name__)
-
-_VERSION_LINE = re.compile(r'^  version: "[^"]+"$', re.MULTILINE)
-_SHA256_LINE = re.compile(r"^  sha256: [0-9a-f]{64}$", re.MULTILINE)
-
-
-def update_recipe(text: str, *, version: str, sha256: str) -> str:
-    """Return recipe text with exactly one context version and source hash updated."""
-    if not version or any(char.isspace() for char in version):
-        raise ValueError("version must be a non-empty value without whitespace")
-    if re.fullmatch(r"[0-9a-f]{64}", sha256) is None:
-        raise ValueError("sha256 must be 64 lowercase hexadecimal characters")
-
-    updated, version_count = _VERSION_LINE.subn(f'  version: "{version}"', text)
-    updated, sha_count = _SHA256_LINE.subn(f"  sha256: {sha256}", updated)
-    if version_count != 1 or sha_count != 1:
-        raise ValueError(
-            "expected exactly one context version and one source sha256 "
-            f"(found version={version_count}, sha256={sha_count})"
-        )
-    return updated
-
-
-def main() -> None:
-    """Update the selected recipe in place."""
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--version", required=True)
-    parser.add_argument("--sha256", required=True)
-    parser.add_argument(
-        "--recipe",
-        type=Path,
-        default=Path("packaging/conda/recipe.yaml"),
-    )
-    args = parser.parse_args()
-
-    original = args.recipe.read_text()
-    updated = update_recipe(original, version=args.version, sha256=args.sha256)
-    args.recipe.write_text(updated)
-    log.info("Updated %s to version %s", args.recipe, args.version)
-
-
-if __name__ == "__main__":
-    logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
-    main()

tests/test_sync_conda_recipe.py

@@ -1,49 +0,0 @@
-"""Tests for the release-time conda recipe synchronizer."""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-import pytest
-
-from scripts.sync_conda_recipe import update_recipe
-
-_OLD_SHA = "a" * 64
-_NEW_SHA = "b" * 64
-_RECIPE = f"""\
-schema_version: 1
-
-context:
-  version: "1.2.3"
-
-source:
-  sha256: {_OLD_SHA}
-"""
-
-
-def test_update_recipe_replaces_version_and_hash() -> None:
-    updated = update_recipe(_RECIPE, version="2.0.0", sha256=_NEW_SHA)
-
-    assert '  version: "2.0.0"' in updated
-    assert f"  sha256: {_NEW_SHA}" in updated
-    assert "1.2.3" not in updated
-    assert _OLD_SHA not in updated
-
-
-@pytest.mark.parametrize("sha256", ["", "A" * 64, "f" * 63, "not-a-hash"])
-def test_update_recipe_rejects_invalid_hash(sha256: str) -> None:
-    with pytest.raises(ValueError, match="sha256"):
-        update_recipe(_RECIPE, version="2.0.0", sha256=sha256)
-
-
-def test_update_recipe_rejects_ambiguous_recipe() -> None:
-    duplicate = _RECIPE + f"\nsource_two:\n  sha256: {_OLD_SHA}\n"
-
-    with pytest.raises(ValueError, match="exactly one"):
-        update_recipe(duplicate, version="2.0.0", sha256=_NEW_SHA)
-
-
-def test_repository_recipe_stays_metadata_only() -> None:
-    recipe = Path("packaging/conda/recipe.yaml").read_text(encoding="utf-8")
-
-    assert "    - av >=16\n" not in recipe