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Five improvements that eliminate most of the agent-in-the-loop friction
observed while closing out the 988-entity WoN evaluation (C.1):
1. Gemini adapter now retries on 429 + 5xx with exponential backoff
(same pattern already used by OpenRouter/OpenAI). Removes the need
for shell-level retry wrappers when hitting free-tier rate limits.
2. evaluate CLI prints the underlying error ("ERROR — HTTP 503 …")
instead of a bare "ERROR", so agents don't have to drop into Python
to diagnose transient failures.
3. --entity/--chapter now respect existing evaluation files by default
(previously only the full-collection pass did). New --force flag
opts into re-evaluation. Stops silently burning free-tier quota on
re-runs of the same slug.
4. --entity accepts hyphenated slugs (matching entity filenames) and
normalizes them to the underscore form used on disk. On a miss the
CLI suggests near matches instead of a bare "not found".
5. eval-summary --update-metrics is no longer destructive:
read_metrics_file/write_metrics_file preserve structured values
(type_distribution) and don't flatten ints to floats. Fixes a
silent data loss observed on every run.
Bonus: the evaluator field in written evaluation frontmatter now
falls back from run_config.model_name to the adapter's resolved model
(or the model echoed back in the API response), so rows no longer
show `evaluator: null` when --model is omitted.
Tests: new tests/unit/llm/test_gemini.py covers retry behavior;
tests/unit/infospace/test_history.py gains a round-trip test that
pins the type_distribution / int-preservation invariants.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
"""Tests for markitect.llm.gemini — retry behavior + happy path."""
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from unittest import mock
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import pytest
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from markitect.llm.gemini import GeminiAdapter
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from markitect.llm.exceptions import LLMAPIError, LLMRateLimitError
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from markitect.prompts.execution.models import RunConfig, LLMResponse
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def _api_response(text="hello", model="gemini-2.5-flash"):
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return {
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"candidates": [
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{
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"content": {"parts": [{"text": text}], "role": "model"},
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"finishReason": "STOP",
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}
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],
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"modelVersion": model,
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"usageMetadata": {
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"promptTokenCount": 3,
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"candidatesTokenCount": 2,
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"totalTokenCount": 5,
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},
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}
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class TestGeminiAdapter:
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def _adapter(self, **kwargs):
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defaults = {"api_key": "AIza-test"}
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defaults.update(kwargs)
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return GeminiAdapter(**defaults)
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@mock.patch("markitect.llm.gemini.post_json")
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def test_success(self, mock_post):
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mock_post.return_value = _api_response("generated")
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adapter = self._adapter()
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resp = adapter.execute_prompt("hi", RunConfig())
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assert isinstance(resp, LLMResponse)
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assert resp.content == "generated"
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assert resp.metadata["provider"] == "gemini"
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@mock.patch("markitect.llm.gemini.post_json")
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@mock.patch("markitect.llm.gemini.time.sleep")
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def test_retry_on_429(self, mock_sleep, mock_post):
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mock_post.side_effect = [
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LLMRateLimitError("rate limited", status_code=429),
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_api_response("recovered"),
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]
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adapter = self._adapter(max_retries=2)
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resp = adapter.execute_prompt("hi", RunConfig())
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assert resp.content == "recovered"
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assert mock_sleep.call_count == 1
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@mock.patch("markitect.llm.gemini.post_json")
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@mock.patch("markitect.llm.gemini.time.sleep")
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def test_retry_on_503(self, mock_sleep, mock_post):
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mock_post.side_effect = [
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LLMAPIError("unavailable", status_code=503),
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_api_response("back"),
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]
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adapter = self._adapter(max_retries=2)
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resp = adapter.execute_prompt("hi", RunConfig())
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assert resp.content == "back"
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@mock.patch("markitect.llm.gemini.post_json")
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def test_no_retry_on_400(self, mock_post):
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mock_post.side_effect = LLMAPIError("bad request", status_code=400)
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adapter = self._adapter(max_retries=2)
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with pytest.raises(LLMAPIError) as exc_info:
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adapter.execute_prompt("hi", RunConfig())
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assert exc_info.value.status_code == 400
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@mock.patch("markitect.llm.gemini.post_json")
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@mock.patch("markitect.llm.gemini.time.sleep")
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def test_exhausted_retries_raises(self, mock_sleep, mock_post):
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mock_post.side_effect = LLMRateLimitError("rate limited", status_code=429)
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adapter = self._adapter(max_retries=1)
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with pytest.raises(LLMRateLimitError):
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adapter.execute_prompt("hi", RunConfig())
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assert mock_sleep.call_count == 1 # 1 retry before giving up
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