File size: 11,413 Bytes
87337b1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
#
# This file is part of TEN Framework, an open source project.
# Licensed under the Apache License, Version 2.0.
# See the LICENSE file for more information.
#
import asyncio
import json
import time
import traceback
from dataclasses import dataclass
from typing import AsyncGenerator

import aiohttp
from ten import AsyncTenEnv, AudioFrame, Cmd, CmdResult, Data, StatusCode, VideoFrame
from ten_ai_base.config import BaseConfig
from ten_ai_base.types import LLMChatCompletionUserMessageParam, LLMDataCompletionArgs
from ten_ai_base.llm import (
    AsyncLLMBaseExtension,
)

CMD_IN_FLUSH = "flush"
CMD_IN_ON_USER_JOINED = "on_user_joined"
CMD_IN_ON_USER_LEFT = "on_user_left"
CMD_OUT_FLUSH = "flush"
CMD_OUT_TOOL_CALL = "tool_call"

DATA_IN_TEXT_DATA_PROPERTY_IS_FINAL = "is_final"
DATA_IN_TEXT_DATA_PROPERTY_TEXT = "text"

DATA_OUT_TEXT_DATA_PROPERTY_TEXT = "text"
DATA_OUT_TEXT_DATA_PROPERTY_END_OF_SEGMENT = "end_of_segment"

CMD_PROPERTY_RESULT = "tool_result"


def is_punctuation(char):
    if char in [",", ",", ".", "。", "?", "?", "!", "!"]:
        return True
    return False


def parse_sentences(sentence_fragment, content):
    sentences = []
    current_sentence = sentence_fragment
    for char in content:
        current_sentence += char
        if is_punctuation(char):
            stripped_sentence = current_sentence
            if any(c.isalnum() for c in stripped_sentence):
                sentences.append(stripped_sentence)
            current_sentence = ""

    remain = current_sentence
    return sentences, remain


@dataclass
class DifyConfig(BaseConfig):
    base_url: str = "https://api.dify.ai/v1"
    api_key: str = ""
    user_id: str = "TenAgent"
    greeting: str = ""
    failure_info: str = ""
    max_history: int = 32


class DifyExtension(AsyncLLMBaseExtension):
    config: DifyConfig = None
    ten_env: AsyncTenEnv = None
    loop: asyncio.AbstractEventLoop = None
    stopped: bool = False
    users_count = 0
    conversational_id = ""

    async def on_init(self, ten_env: AsyncTenEnv) -> None:
        await super().on_init(ten_env)
        ten_env.log_debug("on_init")

    async def on_start(self, ten_env: AsyncTenEnv) -> None:
        await super().on_start(ten_env)
        ten_env.log_debug("on_start")
        self.loop = asyncio.get_event_loop()

        self.config = await DifyConfig.create_async(ten_env=ten_env)
        ten_env.log_info(f"config: {self.config}")

        if not self.config.api_key:
            ten_env.log_error("Missing required configuration")
            return

        self.ten_env = ten_env

    async def on_stop(self, ten_env: AsyncTenEnv) -> None:
        await super().on_stop(ten_env)
        ten_env.log_debug("on_stop")

        self.stopped = True

    async def on_deinit(self, ten_env: AsyncTenEnv) -> None:
        await super().on_deinit(ten_env)
        ten_env.log_debug("on_deinit")

    async def on_cmd(self, ten_env: AsyncTenEnv, cmd: Cmd) -> None:
        cmd_name = cmd.get_name()
        ten_env.log_debug("on_cmd name {}".format(cmd_name))

        status = StatusCode.OK
        detail = "success"

        if cmd_name == CMD_IN_FLUSH:
            await self.flush_input_items(ten_env)
            await ten_env.send_cmd(Cmd.create(CMD_OUT_FLUSH))
            ten_env.log_info("on flush")
        elif cmd_name == CMD_IN_ON_USER_JOINED:
            self.users_count += 1
            # Send greeting when first user joined
            if self.config.greeting and self.users_count == 1:
                self.send_text_output(ten_env, self.config.greeting, True)
        elif cmd_name == CMD_IN_ON_USER_LEFT:
            self.users_count -= 1
        else:
            await super().on_cmd(ten_env, cmd)
            return

        cmd_result = CmdResult.create(status)
        cmd_result.set_property_string("detail", detail)
        await ten_env.return_result(cmd_result, cmd)

    async def on_data(self, ten_env: AsyncTenEnv, data: Data) -> None:
        data_name = data.get_name()
        ten_env.log_info("on_data name {}".format(data_name))

        is_final = False
        input_text = ""
        try:
            is_final = data.get_property_bool(DATA_IN_TEXT_DATA_PROPERTY_IS_FINAL)
        except Exception as err:
            ten_env.log_info(
                f"GetProperty optional {DATA_IN_TEXT_DATA_PROPERTY_IS_FINAL} failed, err: {err}"
            )

        try:
            input_text = data.get_property_string(DATA_IN_TEXT_DATA_PROPERTY_TEXT)
        except Exception as err:
            ten_env.log_info(
                f"GetProperty optional {DATA_IN_TEXT_DATA_PROPERTY_TEXT} failed, err: {err}"
            )

        if not is_final:
            ten_env.log_info("ignore non-final input")
            return
        if not input_text:
            ten_env.log_info("ignore empty text")
            return

        ten_env.log_info(f"OnData input text: [{input_text}]")

        # Start an asynchronous task for handling chat completion
        message = LLMChatCompletionUserMessageParam(role="user", content=input_text)
        await self.queue_input_item(False, messages=[message])

    async def on_audio_frame(
        self, ten_env: AsyncTenEnv, audio_frame: AudioFrame
    ) -> None:
        pass

    async def on_video_frame(
        self, ten_env: AsyncTenEnv, video_frame: VideoFrame
    ) -> None:
        pass

    async def on_call_chat_completion(self, async_ten_env, **kargs):
        raise NotImplementedError

    async def on_tools_update(self, async_ten_env, tool):
        raise NotImplementedError

    async def on_data_chat_completion(
        self, ten_env: AsyncTenEnv, **kargs: LLMDataCompletionArgs
    ) -> None:
        input_messages: LLMChatCompletionUserMessageParam = kargs.get("messages", [])
        if not input_messages:
            ten_env.log_warn("No message in data")

        total_output = ""
        sentence_fragment = ""
        calls = {}

        sentences = []
        self.ten_env.log_info(f"messages: {input_messages}")
        response = self._stream_chat(query=input_messages[0]["content"])
        async for message in response:
            # self.ten_env.log_info(f"content: {message}")
            message_type = message.get("event")
            if message_type == "message" or message_type == "agent_message":
                if not self.conversational_id and message.get("conversation_id"):
                    self.conversational_id = message["conversation_id"]
                    ten_env.log_info(f"conversation_id: {self.conversational_id}")

                total_output += message.get("answer", "")
                sentences, sentence_fragment = parse_sentences(
                    sentence_fragment, message.get("answer", "")
                )
                for s in sentences:
                    await self._send_text(s, False)
            elif message_type == "message_end":
                metadata = message.get("metadata", {})
                ten_env.log_info(f"metadata: {metadata}")
            elif message_type == "error":
                err_message = message.get("message", {})
                ten_env.log_error(f"error: {err_message}")
                await self._send_text(err_message, True)

            # data: {"event": "message", "task_id": "900bbd43-dc0b-4383-a372-aa6e6c414227", "id": "663c5084-a254-4040-8ad3-51f2a3c1a77c", "answer": "Hi", "created_at": 1705398420}\n\n

            # try:
            #     if message.event == ChatEventType.CONVERSATION_MESSAGE_DELTA:
            #         total_output += message.message.content
            #         sentences, sentence_fragment = parse_sentences(
            #                 sentence_fragment, message.message.content)
            #         for s in sentences:
            #             await self._send_text(s, False)
            #     elif message.event == ChatEventType.CONVERSATION_MESSAGE_COMPLETED:
            #         if sentence_fragment:
            #             await self._send_text(sentence_fragment, True)
            #         else:
            #             await self._send_text("", True)
            #     elif message.event == ChatEventType.CONVERSATION_CHAT_FAILED:
            #         last_error = message.chat.last_error
            #         if last_error and last_error.code == 4011:
            #             await self._send_text("The Coze token has been depleted. Please check your token usage.", True)
            #         else:
            #             await self._send_text(last_error.msg, True)
            # except Exception as e:
            #     self.ten_env.log_error(f"Failed to parse response: {message} {e}")
            #     traceback.print_exc()
        await self._send_text(sentence_fragment, True)
        self.ten_env.log_info(f"total_output: {total_output} {calls}")

    async def _stream_chat(self, query: str) -> AsyncGenerator[dict, None]:
        async with aiohttp.ClientSession() as session:
            try:
                payload = {
                    "inputs": {},
                    "query": query,
                    "response_mode": "streaming",
                }
                if self.conversational_id:
                    payload["conversation_id"] = self.conversational_id
                if self.config.user_id:
                    payload["user"] = self.config.user_id
                self.ten_env.log_info(f"payload before sending: {json.dumps(payload)}")
                headers = {
                    "Authorization": f"Bearer {self.config.api_key}",
                    "Content-Type": "application/json",
                }
                url = f"{self.config.base_url}/chat-messages"
                start_time = time.time()
                async with session.post(url, json=payload, headers=headers) as response:
                    if response.status != 200:
                        r = await response.json()
                        self.ten_env.log_error(
                            f"Received unexpected status {r} from the server."
                        )
                        if self.config.failure_info:
                            await self._send_text(self.config.failure_info, True)
                        return
                    end_time = time.time()
                    self.ten_env.log_info(f"connect time {end_time - start_time} s")

                    async for line in response.content:
                        if line:
                            l = line.decode("utf-8").strip()
                            if l.startswith("data:"):
                                content = l[5:].strip()
                                if content == "[DONE]":
                                    break
                                self.ten_env.log_debug(f"content: {content}")
                                yield json.loads(content)
            except Exception as e:
                traceback.print_exc()
                self.ten_env.log_error(f"Failed to handle {e}")
            finally:
                await session.close()
                session = None

    async def _send_text(self, text: str, end_of_segment: bool) -> None:
        data = Data.create("text_data")
        data.set_property_string(DATA_OUT_TEXT_DATA_PROPERTY_TEXT, text)
        data.set_property_bool(
            DATA_OUT_TEXT_DATA_PROPERTY_END_OF_SEGMENT, end_of_segment
        )
        asyncio.create_task(self.ten_env.send_data(data))