File size: 2,085 Bytes
0d80452 | 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 | #!/usr/bin/env python
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Helpers shared across annotation-pipeline tests."""
from __future__ import annotations
import json
from typing import Any
from lerobot.annotations.steerable_pipeline.vlm_client import StubVlmClient
def make_canned_responder(
responses_by_marker: dict[str, Any],
default: Any = None,
) -> StubVlmClient:
"""Return a stub that picks a response by inspecting the user prompt.
For each call the responder examines the last user-message text and
returns the response keyed by the first marker substring it contains.
Falls back to ``default`` if no marker matches.
"""
def responder(messages: list[dict[str, Any]]) -> Any:
last_user_text = ""
for message in messages:
if message.get("role") != "user":
continue
content = message.get("content")
if isinstance(content, str):
last_user_text = content
elif isinstance(content, list):
for block in content:
if isinstance(block, dict) and block.get("type") == "text":
last_user_text = block.get("text", "")
for marker, response in responses_by_marker.items():
if marker in last_user_text:
return response
return default
return StubVlmClient(responder=responder)
def encode_vqa_answer(payload: dict[str, Any]) -> str:
return json.dumps(payload, sort_keys=True)
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