3b9b9e829b
• Implemented global offline mode for all HuggingFace-dependent modules to eliminate unauthenticated request warnings and prevent external connection attempts during startup and runtime. Changes • Global Offline Configuration: Added HF_HUB_OFFLINE=1 and TRANSFORMERS_OFFLINE=1 to the environment variables at the top of edit_api.py, embeddings.py, watcher.py, and pose_llm/pose_llm_api.py. • Explicit Local Files Only: Updated all huggingface_hub.hf_hub_download calls in edit_api.py to include local_files_only=True, ensuring they never attempt to reach the Hub if models are already cached. • LLM Service Optimization: Updated AutoTokenizer and AutoModelForCausalLM calls in pose_llm/pose_llm_api.py to use local_files_only=True. • Consistency: Ensured that shared modules like embeddings.py which uses open_clip are also locked to offline mode to prevent background downloads.
395 lines
16 KiB
Python
395 lines
16 KiB
Python
import os
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import sys
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import json
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import shutil
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import unittest
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from datetime import datetime as _dt
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from PIL import Image
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# Ensure tour-comfy is in import path so we can import the FastAPI app and database module
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from fastapi.testclient import TestClient
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import database
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from edit_api import app, _load_output_dir
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class TestAPIRegression(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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# Determine output directory
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cls.output_dir = _load_output_dir()
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cls.client = TestClient(app)
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# Unique mock identifiers to avoid conflicts
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cls.test_ref_filename = "test_regression_ref_image_123.png"
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cls.test_other_filename = "test_regression_other_image_123.png"
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cls.group_id = "test_regression_group_123"
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cls.test_ref_path = os.path.join(cls.output_dir, cls.test_ref_filename)
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cls.test_other_path = os.path.join(cls.output_dir, cls.test_other_filename)
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# Ensure any leftover artifacts from past failed runs are cleaned
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cls._cleanup_database()
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cls._cleanup_files()
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# Create dummy test files (100x100 pixels, RGB format)
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img = Image.new("RGB", (100, 100), color=(255, 0, 0))
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img.save(cls.test_ref_path, "PNG")
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img_other = Image.new("RGB", (100, 100), color=(0, 255, 0))
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img_other.save(cls.test_other_path, "PNG")
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# Mock metadata
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cls.name = "Regression Test Character"
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cls.tags = ["VISIBLE", "LIKE", "21+"]
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cls.embedding = [0.1] * 1024
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cls.clip_description = "A dummy regression test image description"
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cls.prompt = "masterpiece, high quality"
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cls.pose = "standing"
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cls.group_name = "Regression Group"
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cls.hidden = False
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cls.has_background = True
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cls.has_clothing = False
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cls.is_source = True
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cls.pose_description = "The model is standing and looking directly at the camera."
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cls.pose_skeleton = '{"keypoints": [1, 2, 3]}'
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# Insert reference image into the database
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database.upsert_person(
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cls.test_ref_filename,
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filepath=cls.test_ref_path,
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name=cls.name,
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group_id=cls.group_id,
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tags=cls.tags,
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embedding=cls.embedding,
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clip_description=cls.clip_description,
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prompt=cls.prompt,
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pose=cls.pose,
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sort_order=0,
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group_name=cls.group_name,
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hidden=cls.hidden,
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has_background=cls.has_background,
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has_clothing=cls.has_clothing,
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is_source=cls.is_source,
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pose_description=cls.pose_description,
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pose_skeleton=cls.pose_skeleton
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)
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# Insert second image in same group for reordering test
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database.upsert_person(
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cls.test_other_filename,
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filepath=cls.test_other_path,
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name=cls.name,
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group_id=cls.group_id,
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tags=cls.tags,
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embedding=cls.embedding,
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clip_description=cls.clip_description,
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prompt=cls.prompt,
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pose=cls.pose,
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sort_order=1,
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group_name=cls.group_name,
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hidden=cls.hidden,
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has_background=cls.has_background,
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has_clothing=cls.has_clothing,
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is_source=cls.is_source,
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pose_description=cls.pose_description,
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pose_skeleton=cls.pose_skeleton
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)
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# Track dynamically created files and database rows for cleanup
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cls.created_files = [cls.test_ref_path, cls.test_other_path]
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cls.created_db_rows = [cls.test_ref_filename, cls.test_other_filename]
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@classmethod
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def tearDownClass(cls):
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# Cleanup
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cls._cleanup_database()
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cls._cleanup_files()
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@classmethod
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def _cleanup_database(cls):
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# Safely delete any inserted test rows from the person database table
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conn = database.get_db_connection()
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cur = conn.cursor()
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try:
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# Delete any filenames starting with test_regression or containing ts_crop/ts_pad
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cur.execute("""
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DELETE FROM person
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WHERE filename LIKE 'test_regression_%%'
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OR filename LIKE '%%_crop_test_regression_%%'
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OR filename LIKE '%%_pad_test_regression_%%'
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OR group_id = %s
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""", (cls.group_id,))
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conn.commit()
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except Exception as e:
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print(f"Error cleaning up database: {e}")
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conn.rollback()
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finally:
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cur.close()
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database._put_db_connection(conn)
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@classmethod
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def _cleanup_files(cls):
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# Clean up files matching test patterns
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for f in os.listdir(cls.output_dir):
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if "test_regression_" in f or "_crop_" in f or "_pad_" in f:
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p = os.path.join(cls.output_dir, f)
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try:
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if os.path.exists(p):
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os.remove(p)
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except Exception as e:
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print(f"Error removing file {p}: {e}")
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def assertEmbeddingEqual(self, val1, val2):
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if isinstance(val1, str):
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val1 = [float(x) for x in val1.strip("[]").split(",")]
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if isinstance(val2, str):
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val2 = [float(x) for x in val2.strip("[]").split(",")]
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self.assertEqual(len(val1), len(val2))
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for x, y in zip(val1, val2):
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self.assertAlmostEqual(x, y, places=4)
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def test_01_duplicate_copies_all_pose_and_meta_details(self):
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# Send duplicate request to FastAPI
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response = self.client.post(f"/images/{self.test_ref_filename}/duplicate")
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self.assertEqual(response.status_code, 200)
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res_data = response.json()
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self.assertEqual(res_data["status"], "success")
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new_filename = res_data["new_filename"]
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self.created_db_rows.append(new_filename)
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new_path = os.path.join(self.output_dir, os.path.basename(new_filename))
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self.created_files.append(new_path)
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# Assert duplicate file exists on disk
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self.assertTrue(os.path.exists(new_path), f"Duplicated file {new_path} not found on disk")
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# Assert all metadata has been accurately duplicated in DB
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person = database.get_person(new_filename)
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self.assertIsNotNone(person, "Duplicated database entry not found")
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# Column mappings as in database.py get_person:
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# SELECT name, group_id, tags, embedding, clip_description, filepath,
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# prompt, pose, sort_order, group_name, hidden, has_background, source_refs,
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# has_clothing, is_source, pose_description, pose_skeleton
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self.assertEqual(person[0], self.name)
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self.assertEqual(person[1], self.group_id)
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# Tags (assert LIKE and 21+ are preserved)
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tags_list = json.loads(person[2]) if isinstance(person[2], str) else person[2]
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self.assertIn("LIKE", tags_list)
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self.assertIn("21+", tags_list)
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self.assertIn("VISIBLE", tags_list)
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# Verify 21+ is just a standard tag, not a safety blocker
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self.assertIn("21+", tags_list)
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self.assertEmbeddingEqual(person[3], self.embedding)
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self.assertEqual(person[4], self.clip_description)
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self.assertEqual(person[5], new_path)
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self.assertEqual(person[6], self.prompt)
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self.assertEqual(person[7], self.pose)
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self.assertEqual(person[9], self.group_name)
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self.assertEqual(person[10], self.hidden)
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self.assertEqual(person[11], self.has_background)
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# source_refs should refer to original
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source_refs = json.loads(person[12]) if isinstance(person[12], str) else person[12]
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self.assertIn(self.test_ref_filename, source_refs)
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self.assertEqual(person[13], self.has_clothing)
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self.assertEqual(person[14], self.is_source)
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self.assertEqual(person[15], self.pose_description)
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self.assertEqual(person[16], self.pose_skeleton)
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def test_02_crop_as_copy_copies_all_pose_and_meta_details(self):
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# Crop region: (10, 10, 90, 90), as_copy=True
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req_payload = {
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"x1": 10,
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"y1": 10,
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"x2": 90,
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"y2": 90,
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"as_copy": True
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}
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response = self.client.post(f"/images/{self.test_ref_filename}/crop", json=req_payload)
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self.assertEqual(response.status_code, 200)
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res_data = response.json()
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self.assertEqual(res_data["status"], "success")
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new_filename = res_data["new_filename"]
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self.created_db_rows.append(new_filename)
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new_path = os.path.join(self.output_dir, os.path.basename(new_filename))
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self.created_files.append(new_path)
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# Verify physical file existence and crop dimensions (should be 80x80)
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self.assertTrue(os.path.exists(new_path), f"Cropped file {new_path} not found on disk")
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cropped_img = Image.open(new_path)
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self.assertEqual(cropped_img.size, (80, 80))
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# Verify database entry has complete metadata
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person = database.get_person(new_filename)
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self.assertIsNotNone(person, "Cropped copy database entry not found")
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self.assertEqual(person[0], self.name)
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self.assertEqual(person[1], self.group_id)
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tags_list = json.loads(person[2]) if isinstance(person[2], str) else person[2]
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self.assertIn("LIKE", tags_list)
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self.assertIn("21+", tags_list)
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self.assertIn("VISIBLE", tags_list)
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self.assertEmbeddingEqual(person[3], self.embedding)
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self.assertEqual(person[4], self.clip_description)
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self.assertEqual(person[5], new_path)
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self.assertEqual(person[6], self.prompt)
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self.assertEqual(person[7], self.pose)
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self.assertEqual(person[9], self.group_name)
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self.assertEqual(person[10], self.hidden)
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self.assertEqual(person[11], self.has_background)
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source_refs = json.loads(person[12]) if isinstance(person[12], str) else person[12]
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self.assertIn(self.test_ref_filename, source_refs)
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self.assertEqual(person[13], self.has_clothing)
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self.assertEqual(person[14], self.is_source)
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self.assertEqual(person[15], self.pose_description)
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self.assertEqual(person[16], self.pose_skeleton)
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def test_03_crop_in_place_keeps_all_meta_information(self):
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# Crop region: (20, 20, 80, 80), as_copy=False (in-place)
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req_payload = {
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"x1": 20,
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"y1": 20,
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"x2": 80,
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"y2": 80,
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"as_copy": False
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}
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# First verify original size is 100x100
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orig_img = Image.open(self.test_ref_path)
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self.assertEqual(orig_img.size, (100, 100))
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response = self.client.post(f"/images/{self.test_ref_filename}/crop", json=req_payload)
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self.assertEqual(response.status_code, 200)
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res_data = response.json()
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self.assertEqual(res_data["status"], "success")
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self.assertEqual(res_data["new_filename"], self.test_ref_filename)
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# Verify physical file size updated to 60x60
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cropped_img = Image.open(self.test_ref_path)
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self.assertEqual(cropped_img.size, (60, 60))
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# Verify database entry has complete metadata untouched
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person = database.get_person(self.test_ref_filename)
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self.assertIsNotNone(person, "Database entry not found after in-place crop")
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self.assertEqual(person[0], self.name)
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self.assertEqual(person[1], self.group_id)
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tags_list = json.loads(person[2]) if isinstance(person[2], str) else person[2]
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self.assertIn("LIKE", tags_list)
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self.assertIn("21+", tags_list)
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self.assertEmbeddingEqual(person[3], self.embedding)
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self.assertEqual(person[4], self.clip_description)
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self.assertEqual(person[6], self.prompt)
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self.assertEqual(person[7], self.pose)
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self.assertEqual(person[9], self.group_name)
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self.assertEqual(person[10], self.hidden)
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self.assertEqual(person[11], self.has_background)
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self.assertEqual(person[13], self.has_clothing)
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self.assertEqual(person[14], self.is_source)
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self.assertEqual(person[15], self.pose_description)
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self.assertEqual(person[16], self.pose_skeleton)
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def test_04_pad_as_copy_copies_all_pose_and_meta_details(self):
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# Pad canvas: expand top and bottom by 10 pixels, as_copy=True
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req_payload = {
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"top": 10,
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"right": 0,
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"bottom": 10,
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"left": 0,
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"as_copy": True,
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"fill": "transparent",
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"outpaint": False
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}
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# Original size at this point is 60x60 (due to test_03 crop)
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response = self.client.post(f"/images/{self.test_ref_filename}/pad", json=req_payload)
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self.assertEqual(response.status_code, 200)
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res_data = response.json()
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self.assertEqual(res_data["status"], "success")
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new_filename = res_data["new_filename"]
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self.created_db_rows.append(new_filename)
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new_path = os.path.join(self.output_dir, os.path.basename(new_filename))
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self.created_files.append(new_path)
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# Verify physical file existence and pad dimensions (should be 60x80)
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self.assertTrue(os.path.exists(new_path), f"Padded file {new_path} not found on disk")
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padded_img = Image.open(new_path)
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self.assertEqual(padded_img.size, (60, 80))
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# Verify database entry has complete metadata
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person = database.get_person(new_filename)
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self.assertIsNotNone(person, "Padded copy database entry not found")
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self.assertEqual(person[0], self.name)
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self.assertEqual(person[1], self.group_id)
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tags_list = json.loads(person[2]) if isinstance(person[2], str) else person[2]
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self.assertIn("LIKE", tags_list)
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self.assertIn("21+", tags_list)
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self.assertIn("VISIBLE", tags_list)
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self.assertEmbeddingEqual(person[3], self.embedding)
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self.assertEqual(person[4], self.clip_description)
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self.assertEqual(person[5], new_path)
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self.assertEqual(person[6], self.prompt)
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self.assertEqual(person[7], self.pose)
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self.assertEqual(person[9], self.group_name)
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self.assertEqual(person[10], self.hidden)
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self.assertEqual(person[11], self.has_background)
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source_refs = json.loads(person[12]) if isinstance(person[12], str) else person[12]
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self.assertIn(self.test_ref_filename, source_refs)
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self.assertEqual(person[13], self.has_clothing)
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self.assertEqual(person[14], self.is_source)
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self.assertEqual(person[15], self.pose_description)
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self.assertEqual(person[16], self.pose_skeleton)
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def test_05_reorder_group_updates_sort_orders(self):
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# Verify original order
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order_rows_before = database.get_group_order(self.group_id)
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filenames_before = [r[0] for r in order_rows_before]
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self.assertIn(self.test_ref_filename, filenames_before)
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self.assertIn(self.test_other_filename, filenames_before)
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# Reverse the order of files and submit
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new_order = [self.test_other_filename, self.test_ref_filename]
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req_payload = {
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"filenames": new_order
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}
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response = self.client.post(f"/groups/{self.group_id}/order", json=req_payload)
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self.assertEqual(response.status_code, 200)
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res_data = response.json()
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self.assertEqual(res_data["group_id"], self.group_id)
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self.assertEqual(res_data["filenames"], new_order)
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# Get order from database and verify state reflects the updates
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order_rows_after = database.get_group_order(self.group_id)
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filenames_after = [r[0] for r in order_rows_after]
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# Verify custom sort orders are explicitly 0, 1
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self.assertEqual(filenames_after[:2], new_order)
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person_other = database.get_person(self.test_other_filename)
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person_ref = database.get_person(self.test_ref_filename)
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# Column 8 in database.get_person is sort_order
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self.assertEqual(person_other[8], 0)
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self.assertEqual(person_ref[8], 1)
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if __name__ == "__main__":
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unittest.main()
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