15209804824

Committed 23 May 2025 12:03PM UTC coverage: 90.106% (+0.002%) from 90.104%

Build # 15209804824

Build Type

Pull #9433

github

Committed by

web-flow

Commit Message

Merge c3ef4fb30 into 720cc19d7

Pull Request Pull Request #9433: fix: Copy context when using `ThreadPoolExecutor` in `AsyncPipeline.run_async

Run Details

11338 of 12583 relevant lines covered (90.11%)

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18.75

haystack/components/generators/utils.py

# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0

from openai.types.chat.chat_completion_chunk import ChoiceDeltaToolCall

from haystack.dataclasses import StreamingChunk


def print_streaming_chunk(chunk: StreamingChunk) -> None:
    """
    Callback function to handle and display streaming output chunks.

    This function processes a `StreamingChunk` object by:
    - Printing tool call metadata (if any), including function names and arguments, as they arrive.
    - Printing tool call results when available.
    - Printing the main content (e.g., text tokens) of the chunk as it is received.

    The function outputs data directly to stdout and flushes output buffers to ensure immediate display during
    streaming.

    :param chunk: A chunk of streaming data containing content and optional metadata, such as tool calls and
        tool results.
    """
    # Print tool call metadata if available (from ChatGenerator)
    if chunk.meta.get("tool_calls"):
        for tool_call in chunk.meta["tool_calls"]:
            if isinstance(tool_call, ChoiceDeltaToolCall) and tool_call.function:
                # print the tool name
                if tool_call.function.name and not tool_call.function.arguments:
                    print("[TOOL CALL]\n", flush=True, end="")
                    print(f"Tool: {tool_call.function.name} ", flush=True, end="")
                    print("\nArguments: ", flush=True, end="")

                # print the tool arguments
                if tool_call.function.arguments:
                    print(tool_call.function.arguments, flush=True, end="")

    # Print tool call results if available (from ToolInvoker)
    if chunk.meta.get("tool_result"):
        print(f"\n\n[TOOL RESULT]\n{chunk.meta['tool_result']}\n\n", flush=True, end="")

    # Print the main content of the chunk (from ChatGenerator)
    if chunk.content:
        print(chunk.content, flush=True, end="")

1	# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
2	#
3	# SPDX-License-Identifier: Apache-2.0
4
5	from openai.types.chat.chat_completion_chunk import ChoiceDeltaToolCall	1✔
6
7	from haystack.dataclasses import StreamingChunk	1✔
8
9
10	def print_streaming_chunk(chunk: StreamingChunk) -> None:	1✔
11	"""
12	Callback function to handle and display streaming output chunks.
13
14	This function processes a `StreamingChunk` object by:
15	- Printing tool call metadata (if any), including function names and arguments, as they arrive.
16	- Printing tool call results when available.
17	- Printing the main content (e.g., text tokens) of the chunk as it is received.
18
19	The function outputs data directly to stdout and flushes output buffers to ensure immediate display during
20	streaming.
21
22	:param chunk: A chunk of streaming data containing content and optional metadata, such as tool calls and
23	tool results.
24	"""
25	# Print tool call metadata if available (from ChatGenerator)
26	if chunk.meta.get("tool_calls"):	×
27	for tool_call in chunk.meta["tool_calls"]:	×
28	if isinstance(tool_call, ChoiceDeltaToolCall) and tool_call.function:	×
29	# print the tool name
30	if tool_call.function.name and not tool_call.function.arguments:	×
31	print("[TOOL CALL]\n", flush=True, end="")	×
32	print(f"Tool: {tool_call.function.name} ", flush=True, end="")	×
33	print("\nArguments: ", flush=True, end="")	×
34
35	# print the tool arguments
36	if tool_call.function.arguments:	×
37	print(tool_call.function.arguments, flush=True, end="")	×
38
39	# Print tool call results if available (from ToolInvoker)
40	if chunk.meta.get("tool_result"):	×
41	print(f"\n\n[TOOL RESULT]\n{chunk.meta['tool_result']}\n\n", flush=True, end="")	×
42
43	# Print the main content of the chunk (from ChatGenerator)
44	if chunk.content:	×
45	print(chunk.content, flush=True, end="")	×

deepset-ai / haystack / 15209804824

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