File size: 27,384 Bytes
bd4057b
 
a6e9d9d
bd4057b
6daa87a
2dc6fe4
bd4057b
 
 
2dc6fe4
bd4057b
41fee80
bd4057b
81d9ae4
bd4057b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
459bba7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d44a83b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4057b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41fee80
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0284797
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a6e9d9d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0284797
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81d9ae4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
638cad0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d234931
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4057b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2dc6fe4
bd4057b
 
 
2dc6fe4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6daa87a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
503f948
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4057b
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
from __future__ import annotations

import base64
import json
import os
import sqlite3
import tempfile
import time
import unittest
from contextlib import closing
from pathlib import Path
from unittest import mock

from services.image_task_service import ImageTaskService, _public_task


OWNER = {"id": "owner-1", "name": "Owner", "role": "admin"}
OTHER_OWNER = {"id": "owner-2", "name": "Other", "role": "user"}


def wait_for_task(service: ImageTaskService, identity: dict[str, object], task_id: str, status: str, timeout: float = 2.0):
    deadline = time.time() + timeout
    last = None
    while time.time() < deadline:
        result = service.list_tasks(identity, [task_id])
        last = (result.get("items") or [None])[0]
        if last and last.get("status") == status:
            return last
        time.sleep(0.02)
    raise AssertionError(f"task {task_id} did not reach {status}, last={last}")


class ImageTaskServiceTests(unittest.TestCase):
    def make_service(self, path: Path, handler=None) -> ImageTaskService:
        return ImageTaskService(
            path,
            generation_handler=handler or (lambda _payload: {"data": [{"url": "http://example.test/image.png"}]}),
            edit_handler=handler or (lambda _payload: {"data": [{"url": "http://example.test/edit.png"}]}),
            retention_days_getter=lambda: 30,
        )

    def test_duplicate_submit_uses_existing_task(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            calls = 0

            def handler(_payload):
                nonlocal calls
                calls += 1
                time.sleep(0.05)
                return {"data": [{"url": "http://example.test/image.png"}]}

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            first = service.submit_generation(
                OWNER,
                client_task_id="task-1",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )
            second = service.submit_generation(
                OWNER,
                client_task_id="task-1",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )

            self.assertEqual(first["id"], "task-1")
            self.assertEqual(second["id"], "task-1")
            task = wait_for_task(service, OWNER, "task-1", "success")
            self.assertEqual(task["data"][0]["url"], "http://example.test/image.png")
            self.assertEqual(calls, 1)

    def test_different_owner_cannot_query_task(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            service = self.make_service(Path(tmp_dir) / "image_tasks.json")
            service.submit_generation(
                OWNER,
                client_task_id="private-task",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )

            wait_for_task(service, OWNER, "private-task", "success")
            result = service.list_tasks(OTHER_OWNER, ["private-task"])

            self.assertEqual(result["items"], [])
            self.assertEqual(result["missing_ids"], ["private-task"])

    def test_internal_model_daily_limit_settles_successful_task(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            calls: dict[str, list[dict[str, object]]] = {"reserve": [], "consume": [], "refund": []}

            class FakeAuth:
                def reserve_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["reserve"].append({"key_id": key_id, **kwargs})
                    return {"_internal_image_model_daily_limit_reservation": {"amount": kwargs.get("amount")}}

                def consume_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["consume"].append({"key_id": key_id, **kwargs})
                    return {}

                def refund_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["refund"].append({"key_id": key_id, **kwargs})
                    return {}

            service = self.make_service(Path(tmp_dir) / "image_tasks.json")
            with mock.patch("services.auth_service.auth_service", FakeAuth()):
                service.submit_generation(
                    OTHER_OWNER,
                    client_task_id="internal-limit-success",
                    prompt="cat",
                    model="gpt-image-2-4k",
                    size=None,
                    base_url="http://local.test",
                    internal_model_limit_user_id="owner-2",
                    internal_model_limit_model_id="gpt-image-2-4k",
                    internal_model_limit_amount=1,
                )
                wait_for_task(service, OTHER_OWNER, "internal-limit-success", "success")

            self.assertEqual(calls["reserve"], [{"key_id": "owner-2", "model_id": "gpt-image-2-4k", "amount": 1}])
            self.assertEqual(calls["consume"], [{"key_id": "owner-2", "model_id": "gpt-image-2-4k", "amount": 1}])
            self.assertEqual(calls["refund"], [])

    def test_internal_model_daily_limit_refunds_failed_task(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            calls: dict[str, list[dict[str, object]]] = {"reserve": [], "consume": [], "refund": []}

            class FakeAuth:
                def reserve_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["reserve"].append({"key_id": key_id, **kwargs})
                    return {"_internal_image_model_daily_limit_reservation": {"amount": kwargs.get("amount")}}

                def consume_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["consume"].append({"key_id": key_id, **kwargs})
                    return {}

                def refund_internal_image_model_daily_limit(self, key_id: str, **kwargs):
                    calls["refund"].append({"key_id": key_id, **kwargs})
                    return {}

            def handler(_payload):
                raise RuntimeError("upstream failed")

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            with mock.patch("services.auth_service.auth_service", FakeAuth()):
                service.submit_generation(
                    OTHER_OWNER,
                    client_task_id="internal-limit-failed",
                    prompt="cat",
                    model="gpt-image-2-4k",
                    size=None,
                    base_url="http://local.test",
                    internal_model_limit_user_id="owner-2",
                    internal_model_limit_model_id="gpt-image-2-4k",
                    internal_model_limit_amount=1,
                )
                wait_for_task(service, OTHER_OWNER, "internal-limit-failed", "error")

            self.assertEqual(calls["reserve"], [{"key_id": "owner-2", "model_id": "gpt-image-2-4k", "amount": 1}])
            self.assertEqual(calls["consume"], [])
            self.assertEqual(calls["refund"], [{"key_id": "owner-2", "model_id": "gpt-image-2-4k", "amount": 1}])

    def test_normal_pool_task_settles_snapshotted_fractional_price(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            calls: dict[str, list[dict[str, object]]] = {"reserve": [], "consume": [], "refund": []}

            class FakeAuth:
                def reserve_credits(self, key_id: str, amount: int | float, **kwargs):
                    calls["reserve"].append({"key_id": key_id, "amount": amount, **kwargs})
                    return {
                        "_credit_reservation": {
                            "daily": 0,
                            "permanent_paid": amount,
                            "packages": [],
                            "grants": [],
                        }
                    }

                def consume_reserved_credits(self, key_id: str, amount: int | float, **kwargs):
                    calls["consume"].append({"key_id": key_id, "amount": amount, **kwargs})
                    return {}

                def refund_reserved_credits(self, key_id: str, amount: int | float, **kwargs):
                    calls["refund"].append({"key_id": key_id, "amount": amount, **kwargs})
                    return {}

            pricing = {
                "base_unit_price": 1,
                "pay_percentage": 50,
                "unit_price": 0.5,
                "estimated_total": 0.5,
                "rule_id": "weekday-offpeak",
                "rule_name": "工作日低谷",
                "evaluated_at": "2026-09-02T07:00:00+08:00",
            }
            service = self.make_service(Path(tmp_dir) / "image_tasks.json")
            with mock.patch("services.auth_service.auth_service", FakeAuth()):
                service.submit_generation(
                    {"id": "normal-1", "name": "Normal", "role": "normal"},
                    client_task_id="priced-pool-task",
                    prompt="cat",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                    credit_user_id="normal-1",
                    credit_amount=0.5,
                    credit_pricing=pricing,
                )
                task = wait_for_task(
                    service,
                    {"id": "normal-1", "name": "Normal", "role": "normal"},
                    "priced-pool-task",
                    "success",
                )

            self.assertEqual([item["amount"] for item in calls["reserve"]], [0.5])
            self.assertEqual([item["amount"] for item in calls["consume"]], [0.5])
            self.assertEqual(calls["refund"], [])
            with service._lock:
                stored_task = next(item for item in service._tasks.values() if item.get("id") == "priced-pool-task")
                self.assertEqual(stored_task["credit_pricing"]["rule_id"], "weekday-offpeak")

    def test_success_task_persists_to_new_service_instance(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            path = Path(tmp_dir) / "image_tasks.json"
            service = self.make_service(path)
            service.submit_generation(
                OWNER,
                client_task_id="persisted-task",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )
            wait_for_task(service, OWNER, "persisted-task", "success")

            reloaded = self.make_service(path)
            result = reloaded.list_tasks(OWNER, ["persisted-task"])

            self.assertEqual(result["missing_ids"], [])
            self.assertEqual(result["items"][0]["status"], "success")
            self.assertEqual(result["items"][0]["data"][0]["url"], "http://example.test/image.png")

    def test_success_log_records_generation_account_email(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            captured_logs: list[dict[str, object]] = []

            def handler(_payload):
                return {
                    "data": [{"url": "http://example.test/image.png"}],
                    "_account_email": "plus@example.com",
                }

            def capture_log(_type, _summary="", detail=None, **_data):
                captured_logs.append(dict(detail or {}))

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            with mock.patch("services.image_task_service.log_service.add", capture_log):
                service.submit_generation(
                    OWNER,
                    client_task_id="account-log-task",
                    prompt="cat",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                )
                wait_for_task(service, OWNER, "account-log-task", "success")

            self.assertTrue(
                any(item.get("account_email") == "plus@example.com" for item in captured_logs),
                captured_logs,
            )

    def test_third_party_task_uses_url_response_format_and_logs_final_format(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            captured_payload: dict[str, object] = {}
            captured_logs: list[dict[str, object]] = []

            def handler(payload):
                captured_payload.update(payload)
                return {
                    "data": [{"url": "http://example.test/image.png"}],
                    "_third_party_image_api": {
                        "group_name": "4k",
                        "connection_name": "API A",
                        "model_id": "gpt-image-2",
                        "upstream_model": "gpt-image-2",
                        "resolution": "4k",
                        "response_format": "url",
                    },
                }

            def capture_log(_type, _summary="", detail=None, **_data):
                captured_logs.append(dict(detail or {}))

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            with mock.patch("services.image_task_service.log_service.add", capture_log):
                service.submit_generation(
                    OWNER,
                    client_task_id="third-party-format-task",
                    prompt="4k poster",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                    resolution="4k",
                    third_party_image_group_id="group-1",
                )
                wait_for_task(service, OWNER, "third-party-format-task", "success")

            self.assertEqual(captured_payload["response_format"], "url")
            self.assertTrue(
                any(item.get("image_api_response_format") == "url" for item in captured_logs),
                captured_logs,
            )

    def test_inline_base64_task_result_is_saved_as_lightweight_site_url(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            encoded = base64.b64encode(b"image-bytes").decode("ascii")

            class Stored:
                url = "http://local.test/images/2026/08/29/result.png"

            def handler(_payload):
                return {"data": [{"b64_json": encoded, "revised_prompt": "cat"}]}

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            with mock.patch("services.image_task_service.image_storage_service.save", return_value=Stored()) as save:
                service.submit_generation(
                    OWNER,
                    client_task_id="base64-task",
                    prompt="cat",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                )
                task = wait_for_task(service, OWNER, "base64-task", "success")

            self.assertEqual(save.call_count, 1)
            self.assertEqual(save.call_args.args[0], b"image-bytes")
            self.assertEqual(save.call_args.kwargs["base_url"], "http://local.test")
            self.assertEqual(task["data"], [{"url": Stored.url, "revised_prompt": "cat"}])

    def test_running_task_exposes_progress_and_elapsed_time(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            progress_ready = __import__("threading").Event()
            finish = __import__("threading").Event()

            def handler(payload):
                payload["progress_callback"]("generation_success")
                progress_ready.set()
                finish.wait(1)
                payload["progress_callback"]("receiving_image")
                return {"data": [{"url": "http://example.test/image.png"}]}

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            service.submit_generation(
                OWNER,
                client_task_id="progress-task",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )

            self.assertTrue(progress_ready.wait(1))
            running = service.list_tasks(OWNER, ["progress-task"])["items"][0]
            self.assertEqual(running["status"], "running")
            self.assertEqual(running["progress"], "generation_success")
            self.assertEqual([item["step"] for item in running["progress_events"]], ["generation_success"])
            self.assertIsInstance(running["elapsed_secs"], float)

            finish.set()
            completed = wait_for_task(service, OWNER, "progress-task", "success")
            self.assertEqual(completed["duration_ms"] >= 0, True)
            self.assertEqual(
                [item["step"] for item in completed["progress_events"]],
                ["generation_success", "receiving_image"],
            )

    def test_running_task_elapsed_time_never_goes_negative(self):
        public_task = _public_task({
            "id": "future-task",
            "status": "running",
            "mode": "generate",
            "model": "gpt-image-2",
            "size": "",
            "created_at": "2026-08-03 12:00:00",
            "started_at": "2026-08-03 12:00:00",
            "updated_at": "2026-08-03 12:00:00",
            "started_ts": time.time() + 8 * 60 * 60,
        })

        self.assertEqual(public_task["elapsed_secs"], 0.0)

    def test_public_task_redacts_account_email_from_error_without_mutating_admin_data(self):
        email = "private-task@example.com"
        task = {
            "id": "private-error-task",
            "status": "error",
            "mode": "generate",
            "model": "gpt-image-2",
            "size": "",
            "created_at": "2026-08-03 12:00:00",
            "started_at": "2026-08-03 12:00:00",
            "updated_at": "2026-08-03 12:00:00",
            "account_email": email,
            "error": f'HTTP 400: {{"error":{{"account_email":"{email}"}}}}',
        }

        public_task = _public_task(task)

        self.assertNotIn(email, public_task["error"])
        self.assertNotIn("account_email", public_task)
        self.assertEqual(task["account_email"], email)
        self.assertIn(email, task["error"])

    def test_memory_reset_is_passed_to_edit_handler(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            captured_payload = {}

            def handler(payload):
                captured_payload.update(payload)
                return {"data": [{"url": "http://example.test/edit.png"}]}

            service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler)
            service.submit_edit(
                OWNER,
                client_task_id="memory-reset-task",
                prompt="increase saturation",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
                images=[(b"image", "reference.png", "image/png")],
                memory_enabled=True,
                memory_conversation_id="local-conversation",
                memory_reset=True,
            )
            wait_for_task(service, OWNER, "memory-reset-task", "success")

            self.assertTrue(captured_payload["memory"])
            self.assertTrue(captured_payload["memory_reset"])
            self.assertEqual(captured_payload["memory_conversation_id"], "local-conversation")

    def test_startup_marks_unfinished_tasks_as_error(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            path = Path(tmp_dir) / "image_tasks.json"
            path.write_text(
                json.dumps(
                    {
                        "tasks": [
                            {
                                "id": "queued-task",
                                "owner_id": "owner-1",
                                "status": "queued",
                                "mode": "generate",
                                "model": "gpt-image-2",
                                "created_at": "2099-01-01 00:00:00",
                                "updated_at": "2099-01-01 00:00:00",
                            },
                            {
                                "id": "running-task",
                                "owner_id": "owner-1",
                                "status": "running",
                                "mode": "generate",
                                "model": "gpt-image-2",
                                "created_at": "2099-01-01 00:00:00",
                                "updated_at": "2099-01-01 00:00:00",
                            },
                        ]
                    }
                ),
                encoding="utf-8",
            )

            service = self.make_service(path)
            result = service.list_tasks(OWNER, ["queued-task", "running-task"])

            self.assertTrue(path.with_suffix(".db").is_file())
            self.assertEqual([item["status"] for item in result["items"]], ["error", "error"])
            self.assertTrue(all("已中断" in item.get("error", "") for item in result["items"]))

    def test_startup_quarantines_corrupt_database_and_rebuilds_from_json(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            path = Path(tmp_dir) / "image_tasks.json"
            path.write_text(
                json.dumps(
                    {
                        "tasks": [
                            {
                                "id": "legacy-task",
                                "owner_id": "owner-1",
                                "status": "success",
                                "mode": "generate",
                                "model": "gpt-image-2",
                                "created_at": "2026-08-25 10:00:00",
                                "updated_at": "2026-08-25 10:00:01",
                                "data": [{"url": "https://example.test/recovered.png"}],
                            }
                        ]
                    }
                ),
                encoding="utf-8",
            )
            database_path = path.with_suffix(".db")
            database_path.write_bytes(b"not a sqlite database")

            service = self.make_service(path)
            result = service.list_tasks(OWNER, ["legacy-task"])

            self.assertEqual(result["items"][0]["status"], "success")
            self.assertTrue(list(Path(tmp_dir).glob("image_tasks.db.corrupt-*")))
            with closing(sqlite3.connect(database_path)) as connection:
                self.assertEqual(connection.execute("PRAGMA integrity_check").fetchone()[0], "ok")
                self.assertEqual(connection.execute("PRAGMA journal_mode").fetchone()[0], "delete")

    def test_environment_error_relocates_database(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            # 让主数据库路径无法创建:父"目录"其实是一个文件
            blocker = Path(tmp_dir) / "blocker"
            blocker.write_text("not a directory", encoding="utf-8")
            fallback = Path(tmp_dir) / "fallback" / "image_tasks.db"
            path = blocker / "image_tasks.json"

            with mock.patch.dict(os.environ, {"CHATGPT2API_IMAGE_TASKS_DB": str(fallback)}):
                service = self.make_service(path)
                self.assertEqual(service.db_path, fallback)
                service.submit_generation(
                    OWNER,
                    client_task_id="relocated-task",
                    prompt="cat",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                )
                task = wait_for_task(service, OWNER, "relocated-task", "success")
                self.assertEqual(task["data"][0]["url"], "http://example.test/image.png")

            self.assertTrue(fallback.is_file())
            with closing(sqlite3.connect(fallback)) as connection:
                self.assertEqual(connection.execute("PRAGMA integrity_check").fetchone()[0], "ok")

    def test_environment_error_falls_back_to_memory(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            blocker = Path(tmp_dir) / "blocker"
            blocker.write_text("not a directory", encoding="utf-8")
            path = blocker / "image_tasks.json"

            with mock.patch.object(
                ImageTaskService, "_database_fallback_candidates", return_value=[]
            ):
                service = self.make_service(path)
            original_db_path = service.db_path
            self.assertIsNotNone(service._memory_database)
            self.assertEqual(service.db_path, original_db_path)

            service.submit_generation(
                OWNER,
                client_task_id="memory-task",
                prompt="cat",
                model="gpt-image-2",
                size=None,
                base_url="http://local.test",
            )
            task = wait_for_task(service, OWNER, "memory-task", "success")
            self.assertEqual(task["data"][0]["url"], "http://example.test/image.png")
            self.assertFalse(original_db_path.exists())

    def test_runtime_readonly_error_relocates_and_retries_write(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            path = Path(tmp_dir) / "image_tasks.json"
            fallback = Path(tmp_dir) / "fallback" / "image_tasks.db"
            service = self.make_service(path)
            original_writer = service._write_database_task_list_locked
            failed_once = False

            def fail_primary_once(task_list, *, replace_all=False):
                nonlocal failed_once
                if not failed_once:
                    failed_once = True
                    raise sqlite3.OperationalError("attempt to write a readonly database")
                return original_writer(task_list, replace_all=replace_all)

            with (
                mock.patch.dict(os.environ, {"CHATGPT2API_IMAGE_TASKS_DB": str(fallback)}),
                mock.patch.object(service, "_write_database_task_list_locked", side_effect=fail_primary_once),
            ):
                service.submit_generation(
                    OWNER,
                    client_task_id="runtime-relocated-task",
                    prompt="cat",
                    model="gpt-image-2",
                    size=None,
                    base_url="http://local.test",
                )
                task = wait_for_task(service, OWNER, "runtime-relocated-task", "success")

            self.assertEqual(service.db_path, fallback)
            self.assertEqual(task["data"][0]["url"], "http://example.test/image.png")
            with closing(sqlite3.connect(fallback)) as connection:
                stored = connection.execute(
                    "SELECT payload FROM image_tasks WHERE task_id = ?",
                    ("runtime-relocated-task",),
                ).fetchone()
            self.assertIsNotNone(stored)
            self.assertEqual(json.loads(stored[0])["status"], "success")


if __name__ == "__main__":
    unittest.main()