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from __future__ import annotations
import json
import uuid
from typing import Any, AsyncGenerator, Dict
import httpx
from .logging import logger
from .config import BRIDGE_BASE_URL
from .helpers import _get
async def stream_openai_sse(packet: Dict[str, Any], completion_id: str, created_ts: int, model_id: str) -> AsyncGenerator[str, None]:
try:
first = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {"role": "assistant"}}],
}
# 打印转换后的首个 SSE 事件（OpenAI 格式）
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(first, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(first, ensure_ascii=False)}\n\n"
timeout = httpx.Timeout(60.0)
async with httpx.AsyncClient(http2=True, timeout=timeout, trust_env=True) as client:
def _do_stream():
return client.stream(
"POST",
f"{BRIDGE_BASE_URL}/api/warp/send_stream_sse",
headers={"accept": "text/event-stream"},
json={"json_data": packet, "message_type": "warp.multi_agent.v1.Request"},
)
# 首次请求
response_cm = _do_stream()
async with response_cm as response:
if response.status_code == 429:
try:
r = await client.post(f"{BRIDGE_BASE_URL}/api/auth/refresh", timeout=10.0)
logger.warning("[OpenAI Compat] Bridge returned 429. Tried JWT refresh -> HTTP %s", r.status_code)
except Exception as _e:
logger.warning("[OpenAI Compat] JWT refresh attempt failed after 429: %s", _e)
# 重试一次
response_cm2 = _do_stream()
async with response_cm2 as response2:
response = response2
if response.status_code != 200:
error_text = await response.aread()
error_content = error_text.decode("utf-8") if error_text else ""
logger.error(f"[OpenAI Compat] Bridge HTTP error {response.status_code}: {error_content[:300]}")
raise RuntimeError(f"bridge error: {error_content}")
current = ""
tool_calls_emitted = False
async for line in response.aiter_lines():
if line.startswith("data:"):
payload = line[5:].strip()
if not payload:
continue
# 打印接收到的 Protobuf SSE 原始事件片段
try:
logger.info("[OpenAI Compat] 接收到的 Protobuf SSE(data): %s", payload)
except Exception:
pass
if payload == "[DONE]":
break
current += payload
continue
if (line.strip() == "") and current:
try:
ev = json.loads(current)
except Exception:
current = ""
continue
current = ""
event_data = (ev or {}).get("parsed_data") or {}
# 打印接收到的 Protobuf 事件（解析后）
try:
logger.info("[OpenAI Compat] 接收到的 Protobuf 事件(parsed): %s", json.dumps(event_data, ensure_ascii=False))
except Exception:
pass
if "init" in event_data:
pass
client_actions = _get(event_data, "client_actions", "clientActions")
if isinstance(client_actions, dict):
actions = _get(client_actions, "actions", "Actions") or []
for action in actions:
append_data = _get(action, "append_to_message_content", "appendToMessageContent")
if isinstance(append_data, dict):
message = append_data.get("message", {})
agent_output = _get(message, "agent_output", "agentOutput") or {}
text_content = agent_output.get("text", "")
if text_content:
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {"content": text_content}}],
}
# 打印转换后的 OpenAI SSE 事件
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
if isinstance(messages_data, dict):
messages = messages_data.get("messages", [])
for message in messages:
tool_call = _get(message, "tool_call", "toolCall") or {}
call_mcp = _get(tool_call, "call_mcp_tool", "callMcpTool") or {}
if isinstance(call_mcp, dict) and call_mcp.get("name"):
try:
args_obj = call_mcp.get("args", {}) or {}
args_str = json.dumps(args_obj, ensure_ascii=False)
except Exception:
args_str = "{}"
tool_call_id = tool_call.get("tool_call_id") or str(uuid.uuid4())
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{
"index": 0,
"delta": {
"tool_calls": [{
"index": 0,
"id": tool_call_id,
"type": "function",
"function": {"name": call_mcp.get("name"), "arguments": args_str},
}]
}
}],
}
# 打印转换后的 OpenAI 工具调用事件
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit tool_calls): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
tool_calls_emitted = True
else:
agent_output = _get(message, "agent_output", "agentOutput") or {}
text_content = agent_output.get("text", "")
if text_content:
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {"content": text_content}}],
}
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
if "finished" in event_data:
done_chunk = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {}, "finish_reason": ("tool_calls" if tool_calls_emitted else "stop")}],
}
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit done): %s", json.dumps(done_chunk, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(done_chunk, ensure_ascii=False)}\n\n"
# 打印完成标记
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): [DONE]")
except Exception:
pass
yield "data: [DONE]\n\n"
return
if response.status_code != 200:
error_text = await response.aread()
error_content = error_text.decode("utf-8") if error_text else ""
logger.error(f"[OpenAI Compat] Bridge HTTP error {response.status_code}: {error_content[:300]}")
raise RuntimeError(f"bridge error: {error_content}")
current = ""
tool_calls_emitted = False
async for line in response.aiter_lines():
if line.startswith("data:"):
payload = line[5:].strip()
if not payload:
continue
# 打印接收到的 Protobuf SSE 原始事件片段
try:
logger.info("[OpenAI Compat] 接收到的 Protobuf SSE(data): %s", payload)
except Exception:
pass
if payload == "[DONE]":
break
current += payload
continue
if (line.strip() == "") and current:
try:
ev = json.loads(current)
except Exception:
current = ""
continue
current = ""
event_data = (ev or {}).get("parsed_data") or {}
# 打印接收到的 Protobuf 事件（解析后）
try:
logger.info("[OpenAI Compat] 接收到的 Protobuf 事件(parsed): %s", json.dumps(event_data, ensure_ascii=False))
except Exception:
pass
if "init" in event_data:
pass
client_actions = _get(event_data, "client_actions", "clientActions")
if isinstance(client_actions, dict):
actions = _get(client_actions, "actions", "Actions") or []
for action in actions:
append_data = _get(action, "append_to_message_content", "appendToMessageContent")
if isinstance(append_data, dict):
message = append_data.get("message", {})
agent_output = _get(message, "agent_output", "agentOutput") or {}
text_content = agent_output.get("text", "")
if text_content:
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {"content": text_content}}],
}
# 打印转换后的 OpenAI SSE 事件
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
if isinstance(messages_data, dict):
messages = messages_data.get("messages", [])
for message in messages:
tool_call = _get(message, "tool_call", "toolCall") or {}
call_mcp = _get(tool_call, "call_mcp_tool", "callMcpTool") or {}
if isinstance(call_mcp, dict) and call_mcp.get("name"):
try:
args_obj = call_mcp.get("args", {}) or {}
args_str = json.dumps(args_obj, ensure_ascii=False)
except Exception:
args_str = "{}"
tool_call_id = tool_call.get("tool_call_id") or str(uuid.uuid4())
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{
"index": 0,
"delta": {
"tool_calls": [{
"index": 0,
"id": tool_call_id,
"type": "function",
"function": {"name": call_mcp.get("name"), "arguments": args_str},
}]
}
}],
}
# 打印转换后的 OpenAI 工具调用事件
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit tool_calls): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
tool_calls_emitted = True
else:
agent_output = _get(message, "agent_output", "agentOutput") or {}
text_content = agent_output.get("text", "")
if text_content:
delta = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {"content": text_content}}],
}
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
if "finished" in event_data:
done_chunk = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {}, "finish_reason": ("tool_calls" if tool_calls_emitted else "stop")}],
}
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit done): %s", json.dumps(done_chunk, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(done_chunk, ensure_ascii=False)}\n\n"
# 打印完成标记
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit): [DONE]")
except Exception:
pass
yield "data: [DONE]\n\n"
except Exception as e:
logger.error(f"[OpenAI Compat] Stream processing failed: {e}")
error_chunk = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model_id,
"choices": [{"index": 0, "delta": {}, "finish_reason": "error"}],
"error": {"message": str(e)},
}
try:
logger.info("[OpenAI Compat] 转换后的 SSE(emit error): %s", json.dumps(error_chunk, ensure_ascii=False))
except Exception:
pass
yield f"data: {json.dumps(error_chunk, ensure_ascii=False)}\n\n"
yield "data: [DONE]\n\n" |