|
import asyncio |
|
import json |
|
import random |
|
import re |
|
import string |
|
import time |
|
import uuid |
|
|
|
import pybase64 |
|
import websockets |
|
from fastapi import HTTPException |
|
|
|
from api.files import get_file_content |
|
from api.models import model_system_fingerprint |
|
from api.tokens import split_tokens_from_content, calculate_image_tokens, num_tokens_from_messages |
|
from utils.Logger import logger |
|
|
|
moderation_message = "I'm sorry, I cannot provide or engage in any content related to pornography, violence, or any unethical material. If you have any other questions or need assistance, please feel free to let me know. I'll do my best to provide support and assistance." |
|
|
|
|
|
async def format_not_stream_response(response, prompt_tokens, max_tokens, model): |
|
chat_id = f"chatcmpl-{''.join(random.choice(string.ascii_letters + string.digits) for _ in range(29))}" |
|
system_fingerprint_list = model_system_fingerprint.get(model, None) |
|
system_fingerprint = random.choice(system_fingerprint_list) if system_fingerprint_list else None |
|
created_time = int(time.time()) |
|
all_text = "" |
|
async for chunk in response: |
|
try: |
|
if chunk.startswith("data: [DONE]"): |
|
break |
|
elif not chunk.startswith("data: "): |
|
continue |
|
else: |
|
chunk = json.loads(chunk[6:]) |
|
if not chunk["choices"][0].get("delta"): |
|
continue |
|
all_text += chunk["choices"][0]["delta"]["content"] |
|
except Exception as e: |
|
logger.error(f"Error: {chunk}, error: {str(e)}") |
|
continue |
|
content, completion_tokens, finish_reason = await split_tokens_from_content(all_text, max_tokens, model) |
|
message = { |
|
"role": "assistant", |
|
"content": content, |
|
} |
|
usage = { |
|
"prompt_tokens": prompt_tokens, |
|
"completion_tokens": completion_tokens, |
|
"total_tokens": prompt_tokens + completion_tokens |
|
} |
|
if not message.get("content"): |
|
raise HTTPException(status_code=403, detail="No content in the message.") |
|
|
|
data = { |
|
"id": chat_id, |
|
"object": "chat.completion", |
|
"created": created_time, |
|
"model": model, |
|
"choices": [ |
|
{ |
|
"index": 0, |
|
"message": message, |
|
"logprobs": None, |
|
"finish_reason": finish_reason |
|
} |
|
], |
|
"usage": usage |
|
} |
|
if system_fingerprint: |
|
data["system_fingerprint"] = system_fingerprint |
|
return data |
|
|
|
|
|
async def wss_stream_response(websocket, conversation_id): |
|
while not websocket.closed: |
|
try: |
|
message = await asyncio.wait_for(websocket.recv(), timeout=10) |
|
if message: |
|
resultObj = json.loads(message) |
|
sequenceId = resultObj.get("sequenceId", None) |
|
if not sequenceId: |
|
continue |
|
data = resultObj.get("data", {}) |
|
if conversation_id != data.get("conversation_id", ""): |
|
continue |
|
sequenceId = resultObj.get('sequenceId') |
|
if sequenceId and sequenceId % 80 == 0: |
|
await websocket.send( |
|
json.dumps( |
|
{"type": "sequenceAck", "sequenceId": sequenceId} |
|
) |
|
) |
|
decoded_bytes = pybase64.b64decode(data.get("body", None)) |
|
yield decoded_bytes |
|
else: |
|
print("No message received within the specified time.") |
|
except asyncio.TimeoutError: |
|
logger.error("Timeout! No message received within the specified time.") |
|
break |
|
except websockets.ConnectionClosed as e: |
|
if e.code == 1000: |
|
logger.error("WebSocket closed normally with code 1000 (OK)") |
|
yield b"data: [DONE]\n\n" |
|
else: |
|
logger.error(f"WebSocket closed with error code {e.code}") |
|
except Exception as e: |
|
logger.error(f"Error: {str(e)}") |
|
continue |
|
|
|
|
|
async def head_process_response(response): |
|
async for chunk in response: |
|
chunk = chunk.decode("utf-8") |
|
if chunk.startswith("data: {"): |
|
chunk_old_data = json.loads(chunk[6:]) |
|
message = chunk_old_data.get("message", {}) |
|
if not message and "error" in chunk_old_data: |
|
return response, False |
|
role = message.get('author', {}).get('role') |
|
if role == 'user' or role == 'system': |
|
continue |
|
|
|
status = message.get("status") |
|
if status == "in_progress": |
|
return response, True |
|
return response, False |
|
|
|
|
|
async def stream_response(service, response, model, max_tokens): |
|
chat_id = f"chatcmpl-{''.join(random.choice(string.ascii_letters + string.digits) for _ in range(29))}" |
|
system_fingerprint_list = model_system_fingerprint.get(model, None) |
|
system_fingerprint = random.choice(system_fingerprint_list) if system_fingerprint_list else None |
|
created_time = int(time.time()) |
|
completion_tokens = 0 |
|
len_last_content = 0 |
|
len_last_citation = 0 |
|
last_message_id = None |
|
last_role = None |
|
last_content_type = None |
|
model_slug = None |
|
end = False |
|
|
|
chunk_new_data = { |
|
"id": chat_id, |
|
"object": "chat.completion.chunk", |
|
"created": created_time, |
|
"model": model, |
|
"choices": [ |
|
{ |
|
"index": 0, |
|
"delta": {"role": "assistant", "content": ""}, |
|
"logprobs": None, |
|
"finish_reason": None |
|
} |
|
] |
|
} |
|
if system_fingerprint: |
|
chunk_new_data["system_fingerprint"] = system_fingerprint |
|
yield f"data: {json.dumps(chunk_new_data)}\n\n" |
|
|
|
async for chunk in response: |
|
chunk = chunk.decode("utf-8") |
|
if end: |
|
logger.info(f"Response Model: {model_slug}") |
|
yield "data: [DONE]\n\n" |
|
break |
|
try: |
|
if chunk.startswith("data: {"): |
|
chunk_old_data = json.loads(chunk[6:]) |
|
finish_reason = None |
|
message = chunk_old_data.get("message", {}) |
|
conversation_id = chunk_old_data.get("conversation_id") |
|
role = message.get('author', {}).get('role') |
|
if role == 'user' or role == 'system': |
|
continue |
|
|
|
status = message.get("status") |
|
message_id = message.get("id") |
|
content = message.get("content", {}) |
|
recipient = message.get("recipient", "") |
|
meta_data = message.get("metadata", {}) |
|
initial_text = meta_data.get("initial_text", "") |
|
model_slug = meta_data.get("model_slug", model_slug) |
|
|
|
if not message and chunk_old_data.get("type") == "moderation": |
|
delta = {"role": "assistant", "content": moderation_message} |
|
finish_reason = "stop" |
|
end = True |
|
elif status == "in_progress": |
|
outer_content_type = content.get("content_type") |
|
if outer_content_type == "text": |
|
part = content.get("parts", [])[0] |
|
if not part: |
|
if role == 'assistant' and last_role != 'assistant': |
|
if last_role == None: |
|
new_text = "" |
|
else: |
|
new_text = f"\n" |
|
elif role == 'tool' and last_role != 'tool': |
|
new_text = f">{initial_text}\n" |
|
else: |
|
new_text = "" |
|
else: |
|
if last_message_id and last_message_id != message_id: |
|
continue |
|
citation = message.get("metadata", {}).get("citations", []) |
|
if len(citation) > len_last_citation: |
|
inside_metadata = citation[-1].get("metadata", {}) |
|
citation_title = inside_metadata.get("title", "") |
|
citation_url = inside_metadata.get("url", "") |
|
new_text = f' **[[""]]({citation_url} "{citation_title}")** ' |
|
len_last_citation = len(citation) |
|
else: |
|
if role == 'assistant' and last_role != 'assistant': |
|
if recipient == 'dalle.text2im': |
|
new_text = f"\n```{recipient}\n{part[len_last_content:]}" |
|
elif last_role == None: |
|
new_text = part[len_last_content:] |
|
else: |
|
new_text = f"\n\n{part[len_last_content:]}" |
|
elif role == 'tool' and last_role != 'tool': |
|
new_text = f">{initial_text}\n{part[len_last_content:]}" |
|
elif role == 'tool': |
|
new_text = part[len_last_content:].replace("\n\n", "\n") |
|
else: |
|
new_text = part[len_last_content:] |
|
len_last_content = len(part) |
|
else: |
|
text = content.get("text", "") |
|
if outer_content_type == "code" and last_content_type != "code": |
|
language = content.get("language", "") |
|
if not language or language == "unknown": |
|
language = recipient |
|
new_text = "\n```" + language + "\n" + text[len_last_content:] |
|
elif outer_content_type == "execution_output" and last_content_type != "execution_output": |
|
new_text = "\n```" + "Output" + "\n" + text[len_last_content:] |
|
else: |
|
new_text = text[len_last_content:] |
|
len_last_content = len(text) |
|
if last_content_type == "code" and outer_content_type != "code": |
|
new_text = "\n```\n" + new_text |
|
elif last_content_type == "execution_output" and outer_content_type != "execution_output": |
|
new_text = "\n```\n" + new_text |
|
|
|
delta = {"content": new_text} |
|
last_content_type = outer_content_type |
|
if completion_tokens >= max_tokens: |
|
delta = {} |
|
finish_reason = "length" |
|
end = True |
|
elif status == "finished_successfully": |
|
if content.get("content_type") == "multimodal_text": |
|
parts = content.get("parts", []) |
|
delta = {} |
|
for part in parts: |
|
if isinstance(part, str): |
|
continue |
|
inner_content_type = part.get('content_type') |
|
if inner_content_type == "image_asset_pointer": |
|
last_content_type = "image_asset_pointer" |
|
file_id = part.get('asset_pointer').replace('file-service://', '') |
|
logger.debug(f"file_id: {file_id}") |
|
image_download_url = await service.get_download_url(file_id) |
|
logger.debug(f"image_download_url: {image_download_url}") |
|
if image_download_url: |
|
delta = {"content": f"\n```\n\n"} |
|
else: |
|
delta = {"content": f"\n```\nFailed to load the image.\n"} |
|
elif message.get("end_turn"): |
|
part = content.get("parts", [])[0] |
|
new_text = part[len_last_content:] |
|
if not new_text: |
|
matches = re.findall(r'\(sandbox:(.*?)\)', part) |
|
if matches: |
|
file_url_content = "" |
|
for i, sandbox_path in enumerate(matches): |
|
file_download_url = await service.get_response_file_url(conversation_id, message_id, sandbox_path) |
|
if file_download_url: |
|
file_url_content += f"\n```\n\n\n" |
|
delta = {"content": file_url_content} |
|
else: |
|
delta = {} |
|
else: |
|
delta = {"content": new_text} |
|
finish_reason = "stop" |
|
end = True |
|
else: |
|
len_last_content = 0 |
|
if meta_data.get("finished_text"): |
|
delta = {"content": f"\n{meta_data.get('finished_text')}\n"} |
|
else: |
|
continue |
|
else: |
|
continue |
|
last_message_id = message_id |
|
last_role = role |
|
if not end and not delta.get("content"): |
|
delta = {"role": "assistant", "content": ""} |
|
chunk_new_data["choices"][0]["delta"] = delta |
|
chunk_new_data["choices"][0]["finish_reason"] = finish_reason |
|
if not service.history_disabled: |
|
chunk_new_data.update({ |
|
"message_id": message_id, |
|
"conversation_id": conversation_id, |
|
}) |
|
completion_tokens += 1 |
|
yield f"data: {json.dumps(chunk_new_data)}\n\n" |
|
elif chunk.startswith("data: [DONE]"): |
|
logger.info(f"Response Model: {model_slug}") |
|
yield "data: [DONE]\n\n" |
|
else: |
|
continue |
|
except Exception as e: |
|
if chunk.startswith("data: "): |
|
chunk_data = json.loads(chunk[6:]) |
|
if chunk_data.get("error"): |
|
logger.error(f"Error: {chunk_data.get('error')}") |
|
yield "data: [DONE]\n\n" |
|
break |
|
logger.error(f"Error: {chunk}, details: {str(e)}") |
|
continue |
|
|
|
|
|
def get_url_from_content(content): |
|
if isinstance(content, str) and content.startswith('http'): |
|
try: |
|
url = re.match( |
|
r'(?i)\b((?:[a-z][\w-]+:(?:/{1,3}|[a-z0-9%])|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:[^\s()<>]+|\(([^\s()<>]+|(\([^\s()<>]+\)))*\))+(?:\(([^\s()<>]+|(\([^\s()<>]+\)))*\)|[^\s`!()\[\]{};:\'".,<>?«»“”‘’]))', |
|
content.split(' ')[0])[0] |
|
content = content.replace(url, '').strip() |
|
return url, content |
|
except Exception: |
|
return None, content |
|
return None, content |
|
|
|
|
|
def format_messages_with_url(content): |
|
url_list = [] |
|
while True: |
|
url, content = get_url_from_content(content) |
|
if url: |
|
url_list.append(url) |
|
logger.info(f"Found a file_url from messages: {url}") |
|
else: |
|
break |
|
if not url_list: |
|
return content |
|
new_content = [ |
|
{ |
|
"type": "text", |
|
"text": content |
|
} |
|
] |
|
for url in url_list: |
|
new_content.append({ |
|
"type": "image_url", |
|
"image_url": { |
|
"url": url |
|
} |
|
}) |
|
return new_content |
|
|
|
|
|
async def api_messages_to_chat(service, api_messages, upload_by_url=False): |
|
file_tokens = 0 |
|
chat_messages = [] |
|
for api_message in api_messages: |
|
role = api_message.get('role') |
|
content = api_message.get('content') |
|
if upload_by_url: |
|
if isinstance(content, str): |
|
content = format_messages_with_url(content) |
|
if isinstance(content, list): |
|
parts = [] |
|
attachments = [] |
|
content_type = "multimodal_text" |
|
for i in content: |
|
if i.get("type") == "text": |
|
parts.append(i.get("text")) |
|
elif i.get("type") == "image_url": |
|
image_url = i.get("image_url") |
|
url = image_url.get("url") |
|
detail = image_url.get("detail", "auto") |
|
file_content, mime_type = await get_file_content(url) |
|
file_meta = await service.upload_file(file_content, mime_type) |
|
if file_meta: |
|
file_id = file_meta["file_id"] |
|
file_size = file_meta["size_bytes"] |
|
file_name = file_meta["file_name"] |
|
mime_type = file_meta["mime_type"] |
|
use_case = file_meta["use_case"] |
|
if mime_type.startswith("image/"): |
|
width, height = file_meta["width"], file_meta["height"] |
|
file_tokens += await calculate_image_tokens(width, height, detail) |
|
parts.append({ |
|
"content_type": "image_asset_pointer", |
|
"asset_pointer": f"file-service://{file_id}", |
|
"size_bytes": file_size, |
|
"width": width, |
|
"height": height |
|
}) |
|
attachments.append({ |
|
"id": file_id, |
|
"size": file_size, |
|
"name": file_name, |
|
"mime_type": mime_type, |
|
"width": width, |
|
"height": height |
|
}) |
|
else: |
|
if not use_case == "ace_upload": |
|
await service.check_upload(file_id) |
|
file_tokens += file_size // 1000 |
|
attachments.append({ |
|
"id": file_id, |
|
"size": file_size, |
|
"name": file_name, |
|
"mime_type": mime_type, |
|
}) |
|
metadata = { |
|
"attachments": attachments |
|
} |
|
else: |
|
content_type = "text" |
|
parts = [content] |
|
metadata = {} |
|
chat_message = { |
|
"id": f"{uuid.uuid4()}", |
|
"author": {"role": role}, |
|
"content": {"content_type": content_type, "parts": parts}, |
|
"metadata": metadata |
|
} |
|
chat_messages.append(chat_message) |
|
text_tokens = await num_tokens_from_messages(api_messages, service.resp_model) |
|
prompt_tokens = text_tokens + file_tokens |
|
return chat_messages, prompt_tokens |
|
|