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https://github.com/langchain-ai/kork.git
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6d4dc1b23f
* Swap to encoding code block in `<code>` tags which seem more robust. * Add more documentation.
112 lines
4.1 KiB
Python
112 lines
4.1 KiB
Python
from kork import AstPrinter, CodeChain, SimpleContextRetriever, run_interpreter
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from kork.examples import SimpleExampleRetriever
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from kork.exceptions import KorkRunTimeException, LLMParseException
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from kork.parser import parse # type: ignore
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from .utils import ToyChatModel
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def test_code_chain() -> None:
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"""Test the code chain."""
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example_retriever = SimpleExampleRetriever(examples=[("Add 1 and 2", "add_(1, 2)")])
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llm = ToyChatModel(response="<code>var x = 1</code>")
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chain = CodeChain(
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llm=llm,
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retriever=SimpleContextRetriever(),
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interpreter=run_interpreter,
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ast_printer=AstPrinter(),
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example_retriever=example_retriever,
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)
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response = chain(inputs={"query": "blah"})
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# Why does the chain return a `query` key?
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assert sorted(response) == ["code", "environment", "errors", "query", "raw"]
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env = response.pop("environment")
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assert response == {
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"query": "blah",
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"code": "var x = 1",
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"errors": [],
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"raw": "<code>var x = 1</code>",
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}
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assert env.get_symbol("x") == 1
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def test_bad_program() -> None:
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"""Test the code chain."""
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example_retriever = SimpleExampleRetriever(examples=[("Add 1 and 2", "add_(1, 2)")])
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llm = ToyChatModel(response="<code>\nINVALID PROGRAM\n</code>")
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chain = CodeChain(
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llm=llm,
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retriever=SimpleContextRetriever(),
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interpreter=run_interpreter,
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ast_printer=AstPrinter(),
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example_retriever=example_retriever,
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)
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response = chain(inputs={"query": "blah"})
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# Why does the chain return a `query` key?
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assert sorted(response) == ["code", "environment", "errors", "query", "raw"]
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assert response["raw"] == "<code>\nINVALID PROGRAM\n</code>"
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assert response["code"] == "\nINVALID PROGRAM\n"
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assert response["environment"] is None
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assert response["errors"] is not None
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assert isinstance(response["errors"][0], KorkRunTimeException)
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def test_llm_output_missing_program() -> None:
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"""Test the code chain with llm response that's missing code."""
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llm = ToyChatModel(response="oops.")
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example_retriever = SimpleExampleRetriever(examples=[("Add 1 and 2", "add_(1, 2)")])
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chain = CodeChain(
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llm=llm,
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retriever=SimpleContextRetriever(),
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interpreter=run_interpreter,
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ast_printer=AstPrinter(),
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example_retriever=example_retriever,
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)
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response = chain(inputs={"query": "blah"})
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# Why does the chain return a `query` key?
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assert sorted(response) == ["code", "environment", "errors", "query", "raw"]
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assert response["raw"] == "oops."
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assert response["code"] == ""
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assert response["environment"] is None
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errors = response["errors"]
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assert len(errors) == 1
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assert isinstance(response["errors"][0], LLMParseException)
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def test_from_defaults_instantiation() -> None:
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"""Test from default instantiation."""
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llm = ToyChatModel(response="<code>\nvar x = 1;\n</code>")
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chain = CodeChain.from_defaults(llm=llm)
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response = chain(inputs={"query": "blah"})
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# Why does the chain return a `query` key?
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assert sorted(response) == ["code", "environment", "errors", "query", "raw"]
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assert response["environment"].get_symbol("x") == 1
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# Instantiate with sequence of examples and foreign functions
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def _do() -> int:
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"""Do something"""
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return 1
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# Verify that we can instantiate
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examples = [("Add 1 and 2", parse("add_(1, 2)"))]
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chain2 = CodeChain.from_defaults(
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llm=llm, examples=examples, context=[_do], language_name="kork"
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)
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assert isinstance(chain2.context_retriever, SimpleContextRetriever)
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external_func_defs = chain2.context_retriever.retrieve("[anything]")
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# Check foreign funcs
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assert len(external_func_defs) == 1
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assert external_func_defs[0].name == "_do"
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# Check examples
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assert isinstance(chain2.example_retriever, SimpleExampleRetriever)
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assert chain2.example_retriever.retrieve("[anything]") == [
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# Please note that an input formatted was applied by default to the example
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("```text\nAdd 1 and 2\n```", "<code>add_(1, 2)</code>")
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]
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