37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
from review_agent.regulatory_info_package.schemas import InstructionExtractResult
|
||
from review_agent.regulatory_info_package.services.field_extract import extract_fields_by_rules, run_parallel_extract
|
||
|
||
|
||
def test_extract_fields_by_rules_finds_product_name_and_storage():
|
||
instruction = InstructionExtractResult(
|
||
source_file_name="目标产品说明书.docx",
|
||
paragraphs=["产品名称：新型冠状病毒检测试剂盒", "储存条件：2-8℃保存"],
|
||
sections={},
|
||
tables=[],
|
||
component_tables=[],
|
||
front_text="产品名称：新型冠状病毒检测试剂盒\n储存条件：2-8℃保存",
|
||
)
|
||
|
||
result = extract_fields_by_rules(instruction)
|
||
|
||
assert result["product_name"]["value"] == "新型冠状病毒检测试剂盒"
|
||
assert result["storage_condition"]["value"] == "2-8℃保存"
|
||
|
||
|
||
def test_run_parallel_extract_keeps_rule_result_when_llm_fails():
|
||
instruction = InstructionExtractResult(
|
||
source_file_name="目标产品说明书.docx",
|
||
paragraphs=["产品名称：测试产品"],
|
||
sections={},
|
||
tables=[],
|
||
component_tables=[],
|
||
front_text="产品名称：测试产品",
|
||
)
|
||
|
||
result = run_parallel_extract(instruction, llm_extract_func=lambda _instruction: (_ for _ in ()).throw(ValueError("bad llm")))
|
||
|
||
assert result["regex_results"]["product_name"]["value"] == "测试产品"
|
||
assert result["llm_results"] == {}
|
||
assert result["llm_error"]
|
||
|