File size: 16,495 Bytes
443d045
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from __future__ import annotations

import asyncio
import copy
import sys
import time
from collections import deque
from typing import Any, Deque, Dict, List, Tuple

import fastapi

from gradio.data_classes import Estimation, PredictBody, Progress, ProgressUnit
from gradio.helpers import TrackedIterable
from gradio.utils import AsyncRequest, run_coro_in_background, set_task_name


class Event:
    def __init__(
        self,
        websocket: fastapi.WebSocket,
        session_hash: str,
        fn_index: int,
    ):
        self.websocket = websocket
        self.session_hash: str = session_hash
        self.fn_index: int = fn_index
        self._id = f"{self.session_hash}_{self.fn_index}"
        self.data: PredictBody | None = None
        self.lost_connection_time: float | None = None
        self.token: str | None = None
        self.progress: Progress | None = None
        self.progress_pending: bool = False

    async def disconnect(self, code: int = 1000):
        await self.websocket.close(code=code)


class Queue:
    def __init__(
        self,
        live_updates: bool,
        concurrency_count: int,
        update_intervals: float,
        max_size: int | None,
        blocks_dependencies: List,
    ):
        self.event_queue: Deque[Event] = deque()
        self.events_pending_reconnection = []
        self.stopped = False
        self.max_thread_count = concurrency_count
        self.update_intervals = update_intervals
        self.active_jobs: List[None | List[Event]] = [None] * concurrency_count
        self.delete_lock = asyncio.Lock()
        self.server_path = None
        self.duration_history_total = 0
        self.duration_history_count = 0
        self.avg_process_time = 0
        self.avg_concurrent_process_time = None
        self.queue_duration = 1
        self.live_updates = live_updates
        self.sleep_when_free = 0.05
        self.progress_update_sleep_when_free = 0.1
        self.max_size = max_size
        self.blocks_dependencies = blocks_dependencies
        self.access_token = ""

    async def start(self, progress_tracking=False):
        run_coro_in_background(self.start_processing)
        if progress_tracking:
            run_coro_in_background(self.start_progress_tracking)
        if not self.live_updates:
            run_coro_in_background(self.notify_clients)

    def close(self):
        self.stopped = True

    def resume(self):
        self.stopped = False

    def set_url(self, url: str):
        self.server_path = url

    def set_access_token(self, token: str):
        self.access_token = token

    def get_active_worker_count(self) -> int:
        count = 0
        for worker in self.active_jobs:
            if worker is not None:
                count += 1
        return count

    def get_events_in_batch(self) -> Tuple[List[Event] | None, bool]:
        if not (self.event_queue):
            return None, False

        first_event = self.event_queue.popleft()
        events = [first_event]

        event_fn_index = first_event.fn_index
        batch = self.blocks_dependencies[event_fn_index]["batch"]

        if batch:
            batch_size = self.blocks_dependencies[event_fn_index]["max_batch_size"]
            rest_of_batch = [
                event for event in self.event_queue if event.fn_index == event_fn_index
            ][: batch_size - 1]
            events.extend(rest_of_batch)
            [self.event_queue.remove(event) for event in rest_of_batch]

        return events, batch

    async def start_processing(self) -> None:
        while not self.stopped:
            if not self.event_queue:
                await asyncio.sleep(self.sleep_when_free)
                continue

            if not (None in self.active_jobs):
                await asyncio.sleep(self.sleep_when_free)
                continue
            # Using mutex to avoid editing a list in use
            async with self.delete_lock:
                events, batch = self.get_events_in_batch()

            if events:
                self.active_jobs[self.active_jobs.index(None)] = events
                task = run_coro_in_background(self.process_events, events, batch)
                run_coro_in_background(self.broadcast_live_estimations)
                set_task_name(task, events[0].session_hash, events[0].fn_index, batch)

    async def start_progress_tracking(self) -> None:
        while not self.stopped:
            if not any(self.active_jobs):
                await asyncio.sleep(self.progress_update_sleep_when_free)
                continue

            for job in self.active_jobs:
                if job is None:
                    continue
                for event in job:
                    if event.progress_pending and event.progress:
                        event.progress_pending = False
                        client_awake = await self.send_message(
                            event, event.progress.dict()
                        )
                        if not client_awake:
                            await self.clean_event(event)

            await asyncio.sleep(self.progress_update_sleep_when_free)

    def set_progress(
        self,
        event_id: str,
        iterables: List[TrackedIterable] | None,
    ):
        if iterables is None:
            return
        for job in self.active_jobs:
            if job is None:
                continue
            for evt in job:
                if evt._id == event_id:
                    progress_data: List[ProgressUnit] = []
                    for iterable in iterables:
                        progress_unit = ProgressUnit(
                            index=iterable.index,
                            length=iterable.length,
                            unit=iterable.unit,
                            progress=iterable.progress,
                            desc=iterable.desc,
                        )
                        progress_data.append(progress_unit)
                    evt.progress = Progress(progress_data=progress_data)
                    evt.progress_pending = True

    def push(self, event: Event) -> int | None:
        """
        Add event to queue, or return None if Queue is full
        Parameters:
            event: Event to add to Queue
        Returns:
            rank of submitted Event
        """
        queue_len = len(self.event_queue)
        if self.max_size is not None and queue_len >= self.max_size:
            return None
        self.event_queue.append(event)
        return queue_len

    async def clean_event(self, event: Event) -> None:
        if event in self.event_queue:
            async with self.delete_lock:
                self.event_queue.remove(event)

    async def broadcast_live_estimations(self) -> None:
        """
        Runs 2 functions sequentially instead of concurrently. Otherwise dced clients are tried to get deleted twice.
        """
        if self.live_updates:
            await self.broadcast_estimations()

    async def gather_event_data(self, event: Event) -> bool:
        """
        Gather data for the event

        Parameters:
            event:
        """
        if not event.data:
            client_awake = await self.send_message(event, {"msg": "send_data"})
            if not client_awake:
                return False
            event.data = await self.get_message(event)
        return True

    async def notify_clients(self) -> None:
        """
        Notify clients about events statuses in the queue periodically.
        """
        while not self.stopped:
            await asyncio.sleep(self.update_intervals)
            if self.event_queue:
                await self.broadcast_estimations()

    async def broadcast_estimations(self) -> None:
        estimation = self.get_estimation()
        # Send all messages concurrently
        await asyncio.gather(
            *[
                self.send_estimation(event, estimation, rank)
                for rank, event in enumerate(self.event_queue)
            ]
        )

    async def send_estimation(
        self, event: Event, estimation: Estimation, rank: int
    ) -> Estimation:
        """
        Send estimation about ETA to the client.

        Parameters:
            event:
            estimation:
            rank:
        """
        estimation.rank = rank

        if self.avg_concurrent_process_time is not None:
            estimation.rank_eta = (
                estimation.rank * self.avg_concurrent_process_time
                + self.avg_process_time
            )
            if None not in self.active_jobs:
                # Add estimated amount of time for a thread to get empty
                estimation.rank_eta += self.avg_concurrent_process_time
        client_awake = await self.send_message(event, estimation.dict())
        if not client_awake:
            await self.clean_event(event)
        return estimation

    def update_estimation(self, duration: float) -> None:
        """
        Update estimation by last x element's average duration.

        Parameters:
            duration:
        """
        self.duration_history_total += duration
        self.duration_history_count += 1
        self.avg_process_time = (
            self.duration_history_total / self.duration_history_count
        )
        self.avg_concurrent_process_time = self.avg_process_time / min(
            self.max_thread_count, self.duration_history_count
        )
        self.queue_duration = self.avg_concurrent_process_time * len(self.event_queue)

    def get_estimation(self) -> Estimation:
        return Estimation(
            queue_size=len(self.event_queue),
            avg_event_process_time=self.avg_process_time,
            avg_event_concurrent_process_time=self.avg_concurrent_process_time,
            queue_eta=self.queue_duration,
        )

    def get_request_params(self, websocket: fastapi.WebSocket) -> Dict[str, Any]:
        return {
            "url": str(websocket.url),
            "headers": dict(websocket.headers),
            "query_params": dict(websocket.query_params),
            "path_params": dict(websocket.path_params),
            "client": dict(host=websocket.client.host, port=websocket.client.port),  # type: ignore
        }

    async def call_prediction(self, events: List[Event], batch: bool):
        data = events[0].data
        assert data is not None, "No event data"
        token = events[0].token
        data.event_id = events[0]._id if not batch else None
        try:
            data.request = self.get_request_params(events[0].websocket)
        except ValueError:
            pass

        if batch:
            data.data = list(zip(*[event.data.data for event in events if event.data]))
            data.request = [
                self.get_request_params(event.websocket)
                for event in events
                if event.data
            ]
            data.batched = True

        response = await AsyncRequest(
            method=AsyncRequest.Method.POST,
            url=f"{self.server_path}api/predict",
            json=dict(data),
            headers={"Authorization": f"Bearer {self.access_token}"},
            cookies={"access-token": token} if token is not None else None,
        )
        return response

    async def process_events(self, events: List[Event], batch: bool) -> None:
        awake_events: List[Event] = []
        try:
            for event in events:
                client_awake = await self.gather_event_data(event)
                if client_awake:
                    client_awake = await self.send_message(
                        event, {"msg": "process_starts"}
                    )
                if client_awake:
                    awake_events.append(event)
            if not awake_events:
                return
            begin_time = time.time()
            response = await self.call_prediction(awake_events, batch)
            if response.has_exception:
                for event in awake_events:
                    await self.send_message(
                        event,
                        {
                            "msg": "process_completed",
                            "output": {"error": str(response.exception)},
                            "success": False,
                        },
                    )
            elif response.json.get("is_generating", False):
                old_response = response
                while response.json.get("is_generating", False):
                    # Python 3.7 doesn't have named tasks.
                    # In order to determine if a task was cancelled, we
                    # ping the websocket to see if it was closed mid-iteration.
                    if sys.version_info < (3, 8):
                        is_alive = await self.send_message(event, {"msg": "alive?"})
                        if not is_alive:
                            return
                    old_response = response
                    open_ws = []
                    for event in awake_events:
                        open = await self.send_message(
                            event,
                            {
                                "msg": "process_generating",
                                "output": old_response.json,
                                "success": old_response.status == 200,
                            },
                        )
                        open_ws.append(open)
                    awake_events = [
                        e for e, is_open in zip(awake_events, open_ws) if is_open
                    ]
                    if not awake_events:
                        return
                    response = await self.call_prediction(awake_events, batch)
                for event in awake_events:
                    if response.status != 200:
                        relevant_response = response
                    else:
                        relevant_response = old_response

                    await self.send_message(
                        event,
                        {
                            "msg": "process_completed",
                            "output": relevant_response.json,
                            "success": relevant_response.status == 200,
                        },
                    )
            else:
                output = copy.deepcopy(response.json)
                for e, event in enumerate(awake_events):
                    if batch and "data" in output:
                        output["data"] = list(zip(*response.json.get("data")))[e]
                    await self.send_message(
                        event,
                        {
                            "msg": "process_completed",
                            "output": output,
                            "success": response.status == 200,
                        },
                    )
            end_time = time.time()
            if response.status == 200:
                self.update_estimation(end_time - begin_time)
        finally:
            for event in awake_events:
                try:
                    await event.disconnect()
                except Exception:
                    pass
            self.active_jobs[self.active_jobs.index(events)] = None
            for event in awake_events:
                await self.clean_event(event)
                # Always reset the state of the iterator
                # If the job finished successfully, this has no effect
                # If the job is cancelled, this will enable future runs
                # to start "from scratch"
                await self.reset_iterators(event.session_hash, event.fn_index)

    async def send_message(self, event, data: Dict) -> bool:
        try:
            await event.websocket.send_json(data=data)
            return True
        except:
            await self.clean_event(event)
            return False

    async def get_message(self, event) -> PredictBody | None:
        try:
            data = await event.websocket.receive_json()
            return PredictBody(**data)
        except:
            await self.clean_event(event)
            return None

    async def reset_iterators(self, session_hash: str, fn_index: int):
        await AsyncRequest(
            method=AsyncRequest.Method.POST,
            url=f"{self.server_path}reset",
            json={
                "session_hash": session_hash,
                "fn_index": fn_index,
            },
        )