159 lines
7.6 KiB
Python
159 lines
7.6 KiB
Python
"""Focused attribution parser regressions."""
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from __future__ import annotations
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import os
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import json
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import tempfile
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import unittest
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os.environ.setdefault("CONFIG_DIR", tempfile.mkdtemp(prefix="ttvc-conversation-test-config-"))
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from routes.conversation import (
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_attribution_parse,
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_character_form_sheet,
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_character_identity_fingerprint,
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_cij_check_cancelled,
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_cij_new,
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_consistent_image_cancel_events,
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_consistent_image_jobs,
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_fallback_attribute_response,
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_bundled_comfyui_workflow,
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_comfyui_run,
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_CastJobRequest,
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match_characters_voices,
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)
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class AttributionParserTests(unittest.TestCase):
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def test_active_character_form_overlays_visual_identity_without_changing_record(self):
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sheet = {
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"physical": "base form",
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"image_prompt": "base prompt",
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"forms": [{"id": "wolf", "name": "Wolf form", "physical": "black wolf", "image_prompt": "black wolf portrait"}],
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"active_form_id": "wolf",
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}
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resolved = _character_form_sheet(sheet)
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self.assertEqual(resolved["physical"], "black wolf")
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self.assertEqual(resolved["image_prompt"], "black wolf portrait")
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self.assertEqual(sheet["active_form_id"], "wolf")
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self.assertNotEqual(_character_identity_fingerprint(sheet), _character_identity_fingerprint({**sheet, "active_form_id": ""}))
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def test_fallback_accepts_mixed_guillemets(self):
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result = _fallback_attribute_response("Intro. »Ein langer Satz endet hier.‹ Danach.")
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self.assertEqual([segment["type"] for segment in result["segments"]], ["narration", "dialogue", "narration"])
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self.assertIn("Ein langer Satz endet hier.", result["segments"][1]["text"])
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def test_repairs_epigraph_split_before_mixed_guillemet_close(self):
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raw = '{"segments":[' \
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'{"speaker":"Schwester Larissa","type":"dialogue","text":"»Von dem Windhager Felsgesteyn bis zur Kueste von Mendena ziehet es sich hin, von Ifirns Eisgebirg bis zu dem dampfenden Waldt der Mohas, und"},' \
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'{"speaker":"Narrator","type":"narration","text":"fürwahr, es ist ein seltsam Land. Lieblich bisweilen, mild und voll der guten Menschen. ‹ Zitiert aus dem Buch."}' \
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']}'
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result = _attribution_parse(raw, "unused")
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self.assertEqual(len(result["segments"]), 2)
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dialogue, narration = result["segments"]
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self.assertEqual(dialogue["speaker"], "Schwester Larissa")
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self.assertEqual(dialogue["type"], "dialogue")
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self.assertTrue(dialogue["text"].endswith("Land. Lieblich bisweilen, mild und voll der guten Menschen. ‹"))
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self.assertEqual(narration["text"], "Zitiert aus dem Buch.")
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def test_book2_neutral_fixture_preserves_multiple_speakers(self):
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fixture_path = os.path.join(os.path.dirname(__file__), "fixtures", "book2_attribution.json")
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with open(fixture_path, encoding="utf-8") as handle:
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fixture = json.load(handle)
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result = _attribution_parse(fixture["raw"], " ".join(fixture["known_characters"]))
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self.assertEqual(
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[segment["speaker"] for segment in result["segments"]],
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["Narrator", "Captain Vale", "The Ferryman", "Mira"],
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)
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self.assertTrue(all(segment["type"] == "dialogue" for segment in result["segments"][1:]))
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def test_bundled_comfyui_workflows_have_required_prompt_and_save_nodes(self):
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for image_kind in ("portrait", "concept_art"):
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raw, prompt_node, prompt_field, save_node = _bundled_comfyui_workflow(image_kind)
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graph = json.loads(raw)
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self.assertIn(prompt_node, graph)
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self.assertEqual(graph[prompt_node]["class_type"], "CLIPTextEncode")
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self.assertIn(prompt_field, graph[prompt_node]["inputs"])
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self.assertIn(save_node, graph)
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self.assertIn("filename_prefix", graph[save_node]["inputs"])
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def test_comfyui_submission_injects_prompt_polls_and_returns_image(self):
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from unittest.mock import patch
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class ResponseStub:
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def __init__(self, payload=None, content=b"", headers=None):
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self._payload, self.content, self.headers = payload, content, headers or {}
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self.ok = True
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self.status_code = 200
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self.text = ""
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def json(self):
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return self._payload
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def raise_for_status(self):
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return None
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graph = {
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"2": {"class_type": "CLIPTextEncode", "inputs": {"text": "old"}},
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"5": {"class_type": "KSampler", "inputs": {"seed": 0}},
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"7": {"class_type": "SaveImage", "inputs": {"filename_prefix": "test"}},
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}
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post = ResponseStub({"prompt_id": "p1"})
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history = ResponseStub({"p1": {"status": {"completed": True}, "outputs": {"7": {"images": [{"filename": "out.png"}]}}}})
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view = ResponseStub(content=b"png", headers={"Content-Type": "image/png"})
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with patch("routes.conversation.requests.post", return_value=post) as post_call, \
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patch("routes.conversation.requests.get", side_effect=[history, view]), \
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patch("routes.conversation.time.sleep"):
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result = _comfyui_run("http://comfyui:8188", json.dumps(graph), "2", "text", "7", "new prompt", "stable")
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self.assertTrue(result.startswith("data:image/png;base64,"))
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submitted = post_call.call_args.kwargs["json"]["prompt"]
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self.assertEqual(submitted["2"]["inputs"]["text"], "new prompt")
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self.assertNotEqual(submitted["5"]["inputs"]["seed"], 0)
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def test_voice_matching_rejects_invented_and_unnecessarily_duplicate_ids(self):
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from unittest.mock import patch
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class ResponseStub:
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status_code = 200
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ok = True
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text = ""
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def raise_for_status(self):
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return None
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def json(self):
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return {"choices": [{"message": {"content": json.dumps({"assignments": [
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{"name": "A", "voice_id": "v1", "reason": "match"},
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{"name": "B", "voice_id": "invented", "reason": "bad"},
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{"name": "C", "voice_id": "v1", "reason": "duplicate"},
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]})}}]}
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data = {"names": ["A", "B", "C"], "voices": [{"id": "v1", "gender": "F"}, {"id": "v2", "gender": "M"}], "script": "short", "llm_url": "http://llm/v1"}
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with patch("routes.conversation.requests.post", return_value=ResponseStub()):
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result = __import__("asyncio").run(match_characters_voices(_CastJobRequest(data, {})))
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self.assertEqual([item["voice_id"] for item in result["assignments"]], ["v1"])
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def test_consistent_image_job_can_be_cancelled(self):
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from fastapi.testclient import TestClient
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from server import app
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job_id = "cancel-test"
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_cij_new(job_id, "Test character")
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try:
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with TestClient(app) as client:
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response = client.post(
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f"/api/character-generate-consistent-images/cancel/{job_id}",
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headers={"origin": "http://testserver"},
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)
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self.assertEqual(response.status_code, 200)
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self.assertTrue(response.json()["cancelled"])
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with self.assertRaises(Exception):
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_cij_check_cancelled(job_id)
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finally:
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_consistent_image_jobs.pop(job_id, None)
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_consistent_image_cancel_events.pop(job_id, None)
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from core.database import _open
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with _open() as conn:
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conn.execute("DELETE FROM background_jobs WHERE job_id=?", (job_id,))
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conn.commit()
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if __name__ == "__main__":
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unittest.main()
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