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https://github.com/hwchase17/langchain
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562d9891ea
This class enables us to send a dictionary containing an output key and
the expected format, which in turn allows us to retrieve the result of
the matching formats and extract specific information from it.
To exclude irrelevant information from our return dictionary, we can
prompt the LLM to use a specific command that notifies us when it
doesn't know the answer. We refer to this variable as the
"no_update_value".
Regarding the updated regular expression pattern
(r"{}:\s?([^.'\n']*).?"), it enables us to retrieve a format as 'Output
Key':'value'.
We have improved the regex by adding an optional space between ':' and
'value' with "s?", and by excluding points and line jumps from the
matches using "[^.'\n']*".
38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
"""Test in memory docstore."""
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from langchain.output_parsers.regex_dict import RegexDictParser
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DEF_EXPECTED_RESULT = {"action": "Search", "action_input": "How to use this class?"}
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DEF_OUTPUT_KEY_TO_FORMAT = {"action": "Action", "action_input": "Action Input"}
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DEF_README = """We have just received a new result from the LLM, and our next step is
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to filter and read its format using regular expressions to identify specific fields,
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such as:
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- Action: Search
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- Action Input: How to use this class?
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- Additional Fields: "N/A"
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To assist us in this task, we use the regex_dict class. This class allows us to send a
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dictionary containing an output key and the expected format, which in turn enables us to
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retrieve the result of the matching formats and extract specific information from it.
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To exclude irrelevant information from our return dictionary, we can instruct the LLM to
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use a specific command that notifies us when it doesn't know the answer. We call this
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variable the "no_update_value", and for our current case, we set it to "N/A". Therefore,
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we expect the result to only contain the following fields:
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{
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{key = action, value = search}
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{key = action_input, value = "How to use this class?"}.
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}"""
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def test_regex_dict_result() -> None:
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"""Test regex dict result."""
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regex_dict_parser = RegexDictParser(
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output_key_to_format=DEF_OUTPUT_KEY_TO_FORMAT, no_update_value="N/A"
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)
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result_dict = regex_dict_parser.parse(DEF_README)
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print("parse_result:", result_dict)
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assert DEF_EXPECTED_RESULT == result_dict
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