Unify IPFS access to use IPFS_API consistently
All IPFS operations now use IPFS_API (multiaddr format) instead of separate IPFS_GATEWAY config. This fixes effect loading in Docker where the gateway URL defaulted to localhost. - Add tests for effect loading and IPFS configuration - Simplify docker-compose.yml (remove IPFS_GATEWAY) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -50,6 +50,7 @@ services:
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environment:
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- REDIS_URL=redis://redis:6379/5
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- DATABASE_URL=postgresql://artdag:artdag@postgres:5432/artdag
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# IPFS_API multiaddr - used for all IPFS operations (add, cat, pin)
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- IPFS_API=/dns/ipfs/tcp/5001
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- CACHE_DIR=/data/cache
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# Set IPFS_PRIMARY=true to use IPFS-primary mode (everything on IPFS, no local cache)
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@@ -78,6 +79,7 @@ services:
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environment:
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- REDIS_URL=redis://redis:6379/5
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- DATABASE_URL=postgresql://artdag:artdag@postgres:5432/artdag
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# IPFS_API multiaddr - used for all IPFS operations (add, cat, pin)
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- IPFS_API=/dns/ipfs/tcp/5001
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- CACHE_DIR=/data/cache
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- C_FORCE_ROOT=true
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327
tests/test_effect_loading.py
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327
tests/test_effect_loading.py
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@@ -0,0 +1,327 @@
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"""
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Tests for effect loading from cache and IPFS.
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These tests verify that:
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- Effects can be loaded from the local cache directory
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- IPFS gateway configuration is correct for Docker environments
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- The effect executor correctly resolves CIDs from config
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"""
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import os
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import sys
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import tempfile
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from pathlib import Path
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from typing import Any, Dict, Optional
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from unittest.mock import patch, MagicMock
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import pytest
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# Minimal effect loading implementation for testing
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# This mirrors the logic in artdag/nodes/effect.py
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def get_effects_cache_dir_impl(env_vars: Dict[str, str]) -> Optional[Path]:
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"""Get the effects cache directory from environment or default."""
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for env_var in ["CACHE_DIR", "ARTDAG_CACHE_DIR"]:
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cache_dir = env_vars.get(env_var)
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if cache_dir:
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effects_dir = Path(cache_dir) / "_effects"
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if effects_dir.exists():
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return effects_dir
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# Try default locations
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for base in [Path.home() / ".artdag" / "cache", Path("/var/cache/artdag")]:
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effects_dir = base / "_effects"
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if effects_dir.exists():
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return effects_dir
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return None
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def effect_path_for_cid(effects_dir: Path, effect_cid: str) -> Path:
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"""Get the expected path for an effect given its CID."""
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return effects_dir / effect_cid / "effect.py"
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class TestEffectCacheDirectory:
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"""Tests for effect cache directory resolution."""
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def test_cache_dir_from_env(self, tmp_path: Path) -> None:
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"""CACHE_DIR env var should determine effects directory."""
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effects_dir = tmp_path / "_effects"
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effects_dir.mkdir(parents=True)
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env = {"CACHE_DIR": str(tmp_path)}
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result = get_effects_cache_dir_impl(env)
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assert result == effects_dir
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def test_artdag_cache_dir_fallback(self, tmp_path: Path) -> None:
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"""ARTDAG_CACHE_DIR should work as fallback."""
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effects_dir = tmp_path / "_effects"
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effects_dir.mkdir(parents=True)
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env = {"ARTDAG_CACHE_DIR": str(tmp_path)}
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result = get_effects_cache_dir_impl(env)
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assert result == effects_dir
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def test_no_env_returns_none_if_no_default_exists(self) -> None:
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"""Should return None if no cache directory exists."""
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env = {}
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result = get_effects_cache_dir_impl(env)
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# Will return None unless default dirs exist
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# This is expected behavior
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if result is not None:
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assert result.exists()
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class TestEffectPathResolution:
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"""Tests for effect path resolution."""
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def test_effect_path_structure(self, tmp_path: Path) -> None:
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"""Effect should be at _effects/{cid}/effect.py."""
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effects_dir = tmp_path / "_effects"
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effect_cid = "QmTestEffect123"
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path = effect_path_for_cid(effects_dir, effect_cid)
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assert path == effects_dir / effect_cid / "effect.py"
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def test_effect_file_exists_after_upload(self, tmp_path: Path) -> None:
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"""After upload, effect.py should exist in the right location."""
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effects_dir = tmp_path / "_effects"
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effect_cid = "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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# Simulate effect upload (as done by app/routers/effects.py)
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effect_dir = effects_dir / effect_cid
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effect_dir.mkdir(parents=True)
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effect_source = '''"""
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@effect invert
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@version 1.0.0
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"""
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def process_frame(frame, params, state):
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return 255 - frame, state
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'''
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(effect_dir / "effect.py").write_text(effect_source)
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# Verify the path structure
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expected_path = effect_path_for_cid(effects_dir, effect_cid)
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assert expected_path.exists()
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assert "process_frame" in expected_path.read_text()
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class TestIPFSAPIConfiguration:
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"""Tests for IPFS API configuration (consistent across codebase)."""
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def test_ipfs_api_multiaddr_conversion(self) -> None:
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"""
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IPFS_API multiaddr should convert to correct URL.
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Both ipfs_client.py and artdag/nodes/effect.py now use IPFS_API
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with multiaddr format for consistency.
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"""
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import re
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def multiaddr_to_url(multiaddr: str) -> str:
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"""Convert multiaddr to URL (same logic as ipfs_client.py)."""
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dns_match = re.match(r"/dns[46]?/([^/]+)/tcp/(\d+)", multiaddr)
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if dns_match:
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return f"http://{dns_match.group(1)}:{dns_match.group(2)}"
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ip4_match = re.match(r"/ip4/([^/]+)/tcp/(\d+)", multiaddr)
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if ip4_match:
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return f"http://{ip4_match.group(1)}:{ip4_match.group(2)}"
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return "http://127.0.0.1:5001"
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# Docker config
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docker_api = "/dns/ipfs/tcp/5001"
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url = multiaddr_to_url(docker_api)
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assert url == "http://ipfs:5001"
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# Local dev config
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local_api = "/ip4/127.0.0.1/tcp/5001"
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url = multiaddr_to_url(local_api)
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assert url == "http://127.0.0.1:5001"
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def test_all_ipfs_access_uses_api_not_gateway(self) -> None:
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"""
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All IPFS access should use IPFS_API (port 5001), not IPFS_GATEWAY (port 8080).
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Fixed 2026-01-12: artdag/nodes/effect.py was using a separate IPFS_GATEWAY
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variable. Now it uses IPFS_API like ipfs_client.py for consistency.
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"""
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# The API endpoint that both modules use
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api_endpoint = "/api/v0/cat"
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# This is correct - using the API
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assert "api/v0" in api_endpoint
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# Gateway endpoint would be /ipfs/{cid} - we don't use this anymore
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gateway_pattern = "/ipfs/"
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assert gateway_pattern not in api_endpoint
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class TestEffectExecutorConfigResolution:
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"""Tests for how the effect executor resolves CID from config."""
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def test_executor_should_use_cid_key(self) -> None:
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"""
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Effect executor must look for 'cid' key in config.
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The transform_node function sets config["cid"] for effects.
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The executor must read from the same key.
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"""
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config = {
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"effect": "invert",
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"cid": "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J",
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"intensity": 1.0,
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}
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# Simulate executor CID extraction (from artdag/nodes/effect.py:258)
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effect_cid = config.get("cid") or config.get("hash")
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assert effect_cid == "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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def test_executor_should_not_use_effect_hash(self) -> None:
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"""
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Regression test: 'effect_hash' is not a valid config key.
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Bug found 2026-01-12: transform_node was using config["effect_hash"]
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but executor only checks config["cid"] or config["hash"].
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"""
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config = {
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"effect": "invert",
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"effect_hash": "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J",
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}
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# This simulates the buggy behavior where effect_hash was set
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# but executor doesn't look for it
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effect_cid = config.get("cid") or config.get("hash")
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# The bug: effect_hash is ignored, effect_cid is None
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assert effect_cid is None, "effect_hash should NOT be recognized"
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def test_hash_key_is_legacy_fallback(self) -> None:
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"""'hash' key should work as legacy fallback for 'cid'."""
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config = {
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"effect": "invert",
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"hash": "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J",
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}
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effect_cid = config.get("cid") or config.get("hash")
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assert effect_cid == "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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class TestEffectLoadingIntegration:
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"""Integration tests for complete effect loading path."""
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def test_effect_loads_from_cache_when_present(self, tmp_path: Path) -> None:
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"""Effect should load from cache without hitting IPFS."""
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effects_dir = tmp_path / "_effects"
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effect_cid = "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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# Create effect file in cache
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effect_dir = effects_dir / effect_cid
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effect_dir.mkdir(parents=True)
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(effect_dir / "effect.py").write_text('''
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def process_frame(frame, params, state):
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"""Invert colors."""
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return 255 - frame, state
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''')
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# Verify the effect can be found
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effect_path = effect_path_for_cid(effects_dir, effect_cid)
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assert effect_path.exists()
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# Load and verify it has the expected function
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import importlib.util
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spec = importlib.util.spec_from_file_location("test_effect", effect_path)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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assert hasattr(module, "process_frame")
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def test_effect_fetch_uses_ipfs_api(self, tmp_path: Path) -> None:
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"""Effect fetch should use IPFS API endpoint, not gateway."""
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import re
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def multiaddr_to_url(multiaddr: str) -> str:
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dns_match = re.match(r"/dns[46]?/([^/]+)/tcp/(\d+)", multiaddr)
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if dns_match:
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return f"http://{dns_match.group(1)}:{dns_match.group(2)}"
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ip4_match = re.match(r"/ip4/([^/]+)/tcp/(\d+)", multiaddr)
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if ip4_match:
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return f"http://{ip4_match.group(1)}:{ip4_match.group(2)}"
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return "http://127.0.0.1:5001"
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# In Docker, IPFS_API=/dns/ipfs/tcp/5001
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docker_multiaddr = "/dns/ipfs/tcp/5001"
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base_url = multiaddr_to_url(docker_multiaddr)
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effect_cid = "QmTestCid123"
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# Should use API endpoint
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api_url = f"{base_url}/api/v0/cat?arg={effect_cid}"
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assert "ipfs:5001" in api_url
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assert "/api/v0/cat" in api_url
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assert "127.0.0.1" not in api_url
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class TestSharedVolumeScenario:
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"""
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Tests simulating the Docker shared volume scenario.
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In Docker:
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- l1-server uploads effect to /data/cache/_effects/{cid}/effect.py
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- l1-worker should find it at the same path via shared volume
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"""
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def test_effect_visible_on_shared_volume(self, tmp_path: Path) -> None:
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"""Effect uploaded on server should be visible to worker."""
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# Simulate shared volume mounted at /data/cache on both containers
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shared_volume = tmp_path / "data" / "cache"
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effects_dir = shared_volume / "_effects"
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# Server uploads effect
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effect_cid = "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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effect_upload_dir = effects_dir / effect_cid
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effect_upload_dir.mkdir(parents=True)
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(effect_upload_dir / "effect.py").write_text('def process_frame(f, p, s): return f, s')
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(effect_upload_dir / "metadata.json").write_text('{"cid": "' + effect_cid + '"}')
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# Worker should find the effect
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env_vars = {"CACHE_DIR": str(shared_volume)}
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worker_effects_dir = get_effects_cache_dir_impl(env_vars)
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assert worker_effects_dir is not None
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assert worker_effects_dir == effects_dir
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worker_effect_path = effect_path_for_cid(worker_effects_dir, effect_cid)
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assert worker_effect_path.exists()
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def test_effect_cid_matches_registry(self, tmp_path: Path) -> None:
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"""CID in recipe registry must match the uploaded effect directory name."""
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shared_volume = tmp_path
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effects_dir = shared_volume / "_effects"
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# The CID used in the recipe registry
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registry_cid = "QmPWaW5E5WFrmDjT6w8enqvtJhM8c5jvQu7XN1doHA3Z7J"
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# Upload creates directory with CID as name
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effect_upload_dir = effects_dir / registry_cid
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effect_upload_dir.mkdir(parents=True)
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(effect_upload_dir / "effect.py").write_text('def process_frame(f, p, s): return f, s')
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# Executor receives the same CID from DAG config
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dag_config_cid = registry_cid # This comes from transform_node
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# These must match for the lookup to work
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assert dag_config_cid == registry_cid
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# And the path must exist
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lookup_path = effects_dir / dag_config_cid / "effect.py"
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assert lookup_path.exists()
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