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refactor(agent): rename agent_cli to metadata_ops, strip temp debug logs

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- Rename py/agent_cli/ -> py/metadata_ops/ (module was never agent-related)
- Rename tests/agent_cli/ -> tests/metadata_ops/
- Remove 9 low-value/debug INFO log points across agent_handlers.py,
  agent_service.py, llm_service.py, and metadata_ops/__init__.py
- Keep LLM raw response at DEBUG level for diagnostics
- Consolidate per-model progress + LLM result into single concise
  log line with basename instead of full path
- Update package/class/method docstrings to clarify this is a
  pipeline infrastructure, not a true agent loop
This commit is contained in:
Will Miao
2026-07-05 18:00:58 +08:00
parent 7b19bbb14e
commit 51c0135250
12 changed files with 113 additions and 126 deletions
Download Patch File Download Diff File Expand all files Collapse all files

108
tests/services/test_post_processor.py
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@@ -39,9 +39,9 @@ class TestProcessDispatch:
@pytest.mark.asyncio
async def test_enrich_hf_metadata_routes_correctly(self, processor):
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview") as mock_dl,
mock.patch("py.agent_cli.refresh_cache") as mock_ref,
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview") as mock_dl,
mock.patch("py.metadata_ops.refresh_cache") as mock_ref,
):
mock_apply.return_value = ["metadata_source"]
mock_dl.return_value = None
@@ -82,9 +82,9 @@ class TestEnrichHfMetadata:
"""Empty current base_model → new value is applied."""
llm = {**self.MIN_LLM_OUTPUT, "base_model": "Flux.1 D"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -100,9 +100,9 @@ class TestEnrichHfMetadata:
"""Existing base_model from CivitAI → not overwritten."""
llm = {**self.MIN_LLM_OUTPUT, "base_model": "Flux.1 D"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -119,9 +119,9 @@ class TestEnrichHfMetadata:
"""Existing base_model from HF → overwritten (LLM is more reliable)."""
llm = {**self.MIN_LLM_OUTPUT, "base_model": "Flux.1 D"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -136,9 +136,9 @@ class TestEnrichHfMetadata:
async def test_base_model_skipped_when_llm_empty(self, processor):
"""LLM returns empty base_model → nothing written."""
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -156,9 +156,9 @@ class TestEnrichHfMetadata:
"""New trigger words written when current list is empty."""
llm = {**self.MIN_LLM_OUTPUT, "trigger_words": ["trigger1", "trigger2"]}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -176,9 +176,9 @@ class TestEnrichHfMetadata:
"""short_description written to civitai.description for HF models."""
llm = {**self.MIN_LLM_OUTPUT, "short_description": "A short summary"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -194,9 +194,9 @@ class TestEnrichHfMetadata:
"""short_description NOT written for CivitAI models (has own description)."""
llm = {**self.MIN_LLM_OUTPUT, "short_description": "A short summary"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -213,9 +213,9 @@ class TestEnrichHfMetadata:
async def test_readme_content_converted_to_model_description(self, processor):
"""Raw README converted to HTML and stored as modelDescription."""
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -232,9 +232,9 @@ class TestEnrichHfMetadata:
async def test_readme_content_skipped_for_civitai_model(self, processor):
"""README content NOT converted for CivitAI models."""
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -260,9 +260,9 @@ widget:
Content
"""
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -286,9 +286,9 @@ Content
async def test_gallery_images_skipped_for_civitai_model(self, processor):
"""Gallery images NOT extracted for CivitAI models."""
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=None),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=None),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -310,9 +310,9 @@ Content
async def test_tags_merged_and_deduplicated(self, processor):
llm = {**self.MIN_LLM_OUTPUT, "tags": ["flux", "lora", "STYLE"]}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -332,9 +332,9 @@ Content
@pytest.mark.asyncio
async def test_audit_fields_always_set(self, processor):
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache"),
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -352,9 +352,9 @@ Content
async def test_preview_downloaded_when_url_provided(self, processor):
llm = {**self.MIN_LLM_OUTPUT, "preview_url": "https://ex.com/img.png"}
with (
mock.patch("py.agent_cli.apply_metadata_updates") as mock_apply,
mock.patch("py.agent_cli.download_preview") as mock_dl,
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates") as mock_apply,
mock.patch("py.metadata_ops.download_preview") as mock_dl,
mock.patch("py.metadata_ops.refresh_cache"),
):
mock_dl.return_value = "/p.webp"
result = await processor.process(
@@ -373,9 +373,9 @@ Content
"""If current_preview file exists on disk, skip download."""
llm = {**self.MIN_LLM_OUTPUT, "preview_url": "https://ex.com/img.png"}
with (
mock.patch("py.agent_cli.apply_metadata_updates"),
mock.patch("py.agent_cli.download_preview") as mock_dl,
mock.patch("py.agent_cli.refresh_cache"),
mock.patch("py.metadata_ops.apply_metadata_updates"),
mock.patch("py.metadata_ops.download_preview") as mock_dl,
mock.patch("py.metadata_ops.refresh_cache"),
mock.patch("os.path.exists", return_value=True),
):
await processor.process(
@@ -392,9 +392,9 @@ Content
async def test_cache_refreshed_when_updates_applied(self, processor):
llm = {**self.MIN_LLM_OUTPUT, "base_model": "Flux.1 D"}
with (
mock.patch("py.agent_cli.apply_metadata_updates", return_value=["base_model"]),
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache") as mock_ref,
mock.patch("py.metadata_ops.apply_metadata_updates", return_value=["base_model"]),
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache") as mock_ref,
):
await processor.process(
skill_name="enrich_hf_metadata",
@@ -407,9 +407,9 @@ Content
@pytest.mark.asyncio
async def test_cache_not_refreshed_when_nothing_changed(self, processor):
with (
mock.patch("py.agent_cli.apply_metadata_updates", return_value=[]),
mock.patch("py.agent_cli.download_preview", return_value=False),
mock.patch("py.agent_cli.refresh_cache") as mock_ref,
mock.patch("py.metadata_ops.apply_metadata_updates", return_value=[]),
mock.patch("py.metadata_ops.download_preview", return_value=False),
mock.patch("py.metadata_ops.refresh_cache") as mock_ref,
):
await processor.process(
skill_name="enrich_hf_metadata",