46c4463cb2
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin. --------- Co-authored-by: vasilije <vas.markovic@gmail.com> Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
103 lines
3.4 KiB
Python
Executable file
103 lines
3.4 KiB
Python
Executable file
import os
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import pathlib
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import cognee
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from cognee.modules.search.operations import get_history
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from cognee.modules.users.methods import get_default_user
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from cognee.shared.logging_utils import get_logger
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from cognee.modules.search.types import SearchType
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from cognee.low_level import DataPoint
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logger = get_logger()
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async def main():
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data_directory_path = str(
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pathlib.Path(
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os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_custom_model")
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).resolve()
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)
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cognee.config.data_root_directory(data_directory_path)
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cognee_directory_path = str(
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pathlib.Path(
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os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_custom_model")
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).resolve()
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)
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cognee.config.system_root_directory(cognee_directory_path)
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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# Define a custom graph model for programming languages.
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class FieldType(DataPoint):
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name: str = "Field"
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metadata: dict = {"index_fields": ["name"]}
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class Field(DataPoint):
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name: str
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is_type: FieldType
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metadata: dict = {"index_fields": ["name"]}
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class ProgrammingLanguageType(DataPoint):
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name: str = "Programming Language"
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metadata: dict = {"index_fields": ["name"]}
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class ProgrammingLanguage(DataPoint):
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name: str
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used_in: list[Field] = []
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is_type: ProgrammingLanguageType
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metadata: dict = {"index_fields": ["name"]}
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text = (
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"Python is an interpreted, high-level, general-purpose programming language. It was created by Guido van Rossum and first released in 1991. "
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+ "Python is widely used in data analysis, web development, and machine learning."
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)
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await cognee.add(text)
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await cognee.cognify(graph_model=ProgrammingLanguage)
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graph_file_path = str(
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pathlib.Path(
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os.path.join(
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pathlib.Path(__file__).parent,
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".artifacts/test_custom_model/graph_visualization.html",
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)
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).resolve()
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)
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await cognee.visualize_graph(graph_file_path)
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# Completion query that uses graph data to form context.
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completion = await cognee.search(SearchType.GRAPH_COMPLETION, "What is python?")
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assert len(completion) != 0, "Graph completion search didn't return any result."
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print("Graph completion result is:")
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print(completion)
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# Completion query that uses document chunks to form context.
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completion = await cognee.search(SearchType.RAG_COMPLETION, "What is Python?")
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assert len(completion) != 0, "Completion search didn't return any result."
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print("Completion result is:")
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print(completion)
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# Query all summaries related to query.
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summaries = await cognee.search(SearchType.SUMMARIES, "Python")
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assert len(summaries) != 0, "Summaries search didn't return any results."
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print("Summary results are:")
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for summary in summaries:
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print(summary)
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chunks = await cognee.search(SearchType.CHUNKS, query_text="Python")
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assert len(chunks) != 0, "Chunks search didn't return any results."
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print("Chunk results are:")
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for chunk in chunks:
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print(chunk)
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user = await get_default_user()
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history = await get_history(user.id)
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assert len(history) == 8, "Search history is not correct."
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if __name__ == "__main__":
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import asyncio
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asyncio.run(main(), debug=True)
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