fix: mcp improvements (#472)
<!-- .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 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Dependency Update** - Downgraded `mcp` package version from 1.2.0 to 1.1.3 - Updated `cognee` dependency to include additional features with `cognee[codegraph]` - **New Features** - Introduced a new tool, "codify", for transforming codebases into knowledge graphs - Enhanced the existing "search" tool to accept a new parameter for search type - **Improvements** - Streamlined search functionality with a new modular approach - Added new asynchronous function for retrieving and formatting code parts - **Documentation** - Updated import paths for `SearchType` in various modules and tests to reflect structural changes - **Code Cleanup** - Removed legacy search module and associated classes/functions - Refined data transfer object classes for consistency and clarity <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
This commit is contained in:
Vasilije
GitHub
parent
2858a674f5
commit
4d3acc358a
28 changed files with 212 additions and 255 deletions
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@ -130,7 +130,7 @@ This script will run the default pipeline:
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```python
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import cognee
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import asyncio
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from cognee.api.v1.search import SearchType
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from cognee.modules.search.types import SearchType
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async def main():
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# Create a clean slate for cognee -- reset data and system state
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@ -6,8 +6,8 @@ readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"cognee",
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"mcp==1.2.0",
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"cognee[codegraph]",
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"mcp==1.1.3",
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]
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[[project.authors]]
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@ -1,4 +1,5 @@
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import os
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import cognee
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import logging
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import importlib.util
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@ -8,7 +9,8 @@ from contextlib import redirect_stderr, redirect_stdout
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import mcp.types as types
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from mcp.server import Server, NotificationOptions
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from mcp.server.models import InitializationOptions
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from cognee.api.v1.search import SearchType
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from cognee.api.v1.cognify.code_graph_pipeline import run_code_graph_pipeline
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from cognee.modules.search.types import SearchType
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from cognee.shared.data_models import KnowledgeGraph
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mcp = Server("cognee")
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@ -41,6 +43,19 @@ async def list_tools() -> list[types.Tool]:
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"required": ["text"],
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},
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),
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types.Tool(
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name="codify",
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description="Transforms codebase into knowledge graph",
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inputSchema={
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"type": "object",
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"properties": {
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"repo_path": {
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"type": "string",
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},
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},
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"required": ["repo_path"],
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},
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),
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types.Tool(
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name="search",
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description="Searches for information in knowledge graph",
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@ -51,6 +66,10 @@ async def list_tools() -> list[types.Tool]:
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"type": "string",
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"description": "The query to search for",
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},
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"search_type": {
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"type": "string",
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"description": "The type of search to perform (e.g., INSIGHTS, CODE)",
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},
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},
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"required": ["search_query"],
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},
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@ -72,15 +91,21 @@ async def call_tools(name: str, arguments: dict) -> list[types.TextContent]:
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with open(os.devnull, "w") as fnull:
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with redirect_stdout(fnull), redirect_stderr(fnull):
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if name == "cognify":
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await cognify(
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cognify(
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text=arguments["text"],
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graph_model_file=arguments.get("graph_model_file", None),
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graph_model_name=arguments.get("graph_model_name", None),
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)
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return [types.TextContent(type="text", text="Ingested")]
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if name == "codify":
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await codify(arguments.get("repo_path"))
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return [types.TextContent(type="text", text="Indexed")]
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elif name == "search":
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search_results = await search(arguments["search_query"])
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search_results = await search(
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arguments["search_query"], arguments["search_type"]
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)
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return [types.TextContent(type="text", text=search_results)]
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elif name == "prune":
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@ -102,21 +127,28 @@ async def cognify(text: str, graph_model_file: str = None, graph_model_name: str
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await cognee.add(text)
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try:
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await cognee.cognify(graph_model=graph_model)
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asyncio.create_task(cognee.cognify(graph_model=graph_model))
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except Exception as e:
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raise ValueError(f"Failed to cognify: {str(e)}")
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async def search(search_query: str) -> str:
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async def codify(repo_path: str):
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async for result in run_code_graph_pipeline(repo_path, False):
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print(result)
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async def search(search_query: str, search_type: str) -> str:
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"""Search the knowledge graph"""
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search_results = await cognee.search(SearchType.INSIGHTS, query_text=search_query)
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search_results = await cognee.search(
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query_type=SearchType[search_type.upper()], query_text=search_query
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)
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results = retrieved_edges_to_string(search_results)
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return results
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async def prune() -> str:
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async def prune():
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"""Reset the knowledge graph"""
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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90
cognee-mcp/uv.lock
generated
90
cognee-mcp/uv.lock
generated
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@ -474,7 +474,7 @@ wheels = [
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[[package]]
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name = "cognee"
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version = "0.1.22"
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version = "0.1.23"
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source = { directory = "../" }
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dependencies = [
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{ name = "aiofiles" },
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@ -516,11 +516,16 @@ dependencies = [
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{ name = "sqlalchemy" },
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{ name = "tenacity" },
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{ name = "tiktoken" },
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{ name = "transformers" },
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{ name = "typing-extensions" },
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{ name = "uvicorn" },
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]
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[package.optional-dependencies]
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codegraph = [
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{ name = "jedi" },
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{ name = "parso" },
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]
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[package.metadata]
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requires-dist = [
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{ name = "aiofiles", specifier = ">=23.2.1,<24.0.0" },
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@ -539,6 +544,7 @@ requires-dist = [
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{ name = "fastapi", specifier = "==0.115.7" },
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{ name = "fastapi-users", extras = ["sqlalchemy"], specifier = "==14.0.0" },
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{ name = "filetype", specifier = ">=1.2.0,<2.0.0" },
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{ name = "google-generativeai", marker = "extra == 'gemini'", specifier = ">=0.8.4,<0.9.0" },
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{ name = "graphistry", specifier = ">=0.33.5,<0.34.0" },
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{ name = "groq", marker = "extra == 'groq'", specifier = "==0.8.0" },
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{ name = "gunicorn", specifier = ">=20.1.0,<21.0.0" },
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@ -578,7 +584,7 @@ requires-dist = [
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{ name = "sqlalchemy", specifier = "==2.0.36" },
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{ name = "tenacity", specifier = ">=9.0.0,<10.0.0" },
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{ name = "tiktoken", specifier = "==0.7.0" },
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{ name = "transformers", specifier = ">=4.46.3,<5.0.0" },
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{ name = "transformers", marker = "extra == 'huggingface'", specifier = ">=4.46.3,<5.0.0" },
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{ name = "typing-extensions", specifier = "==4.12.2" },
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{ name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], marker = "extra == 'docs'", specifier = ">=0.16.13,<0.17.0" },
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{ name = "uvicorn", specifier = "==0.34.0" },
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@ -590,14 +596,14 @@ name = "cognee-mcp"
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version = "0.1.0"
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source = { editable = "." }
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dependencies = [
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{ name = "cognee" },
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{ name = "cognee", extra = ["codegraph"] },
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{ name = "mcp" },
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]
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[package.metadata]
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requires-dist = [
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{ name = "cognee", directory = "../" },
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{ name = "mcp", specifier = "==1.2.0" },
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{ name = "cognee", extras = ["codegraph"], directory = "../" },
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{ name = "mcp", specifier = "==1.1.3" },
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]
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[[package]]
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@ -1307,6 +1313,18 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/c5/82/fd319382c1a33d7021cf151007b4cbd5daddf09d9ca5fb670e476668f9fc/instructor-1.7.2-py3-none-any.whl", hash = "sha256:cb43d27f6d7631c31762b936b2fcb44d2a3f9d8a020430a0f4d3484604ffb95b", size = 71353 },
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]
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[[package]]
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name = "jedi"
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version = "0.19.2"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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{ name = "parso" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287 }
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[[package]]
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name = "jinja2"
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version = "3.1.5"
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@ -1739,21 +1757,19 @@ wheels = [
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[[package]]
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name = "mcp"
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source = { registry = "https://pypi.org/simple" }
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{ name = "httpx-sse" },
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{ name = "pydantic" },
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{ name = "pydantic-settings" },
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{ name = "sse-starlette" },
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{ name = "starlette" },
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{ name = "uvicorn" },
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[[package]]
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@ -2083,6 +2099,15 @@ wheels = [
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|
||||
{ url = "https://files.pythonhosted.org/packages/71/45/eaa3dba5253a7c6931230dc961641455710ab231f8a89cb3c4c2af70f8c8/safetensors-0.5.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:1506e4c2eda1431099cebe9abf6c76853e95d0b7a95addceaa74c6019c65d8cf", size = 659588 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/71/2f9851164f821064d43b481ddbea0149c2d676c4f4e077b178e7eeaa6660/safetensors-0.5.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5c5b5d9da594f638a259fca766046f44c97244cc7ab8bef161b3e80d04becc76", size = 632533 },
|
||||
{ url = "https://files.pythonhosted.org/packages/00/f1/5680e2ef61d9c61454fad82c344f0e40b8741a9dbd1e31484f0d31a9b1c3/safetensors-0.5.2-cp38-abi3-win32.whl", hash = "sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2", size = 291167 },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/ca/aa489392ec6fb59223ffce825461e1f811a3affd417121a2088be7a5758b/safetensors-0.5.2-cp38-abi3-win_amd64.whl", hash = "sha256:78abdddd03a406646107f973c7843276e7b64e5e32623529dc17f3d94a20f589", size = 303756 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "scikit-learn"
|
||||
version = "1.6.1"
|
||||
|
|
@ -3348,27 +3351,6 @@ wheels = [
|
|||
{ url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.48.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "filelock" },
|
||||
{ name = "huggingface-hub" },
|
||||
{ name = "numpy" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pyyaml" },
|
||||
{ name = "regex" },
|
||||
{ name = "requests" },
|
||||
{ name = "safetensors" },
|
||||
{ name = "tokenizers" },
|
||||
{ name = "tqdm" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/21/6b/caf620fae7fbf35947c81e7dd0834493b9ad9b71bb9e433025ac7a07e79a/transformers-4.48.1.tar.gz", hash = "sha256:7c1931facc3ee8adcbf86fc7a87461d54c1e40eca3bb57fef1ee9f3ecd32187e", size = 8365872 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/9f/92d3091c44cb19add044064af1bf1345cd35fbb84d32a3690f912800a295/transformers-4.48.1-py3-none-any.whl", hash = "sha256:24be0564b0a36d9e433d9a65de248f1545b6f6edce1737669605eb6a8141bbbb", size = 9665001 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.15.1"
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
from cognee.api.DTO import InDTO
|
||||
from cognee.api.v1.cognify.code_graph_pipeline import run_code_graph_pipeline
|
||||
from cognee.modules.retrieval.description_to_codepart_search import (
|
||||
code_description_to_code_part_search,
|
||||
|
|
@ -7,14 +7,14 @@ from cognee.modules.retrieval.description_to_codepart_search import (
|
|||
from fastapi.responses import JSONResponse
|
||||
|
||||
|
||||
class CodePipelineIndexPayloadDTO(BaseModel):
|
||||
class CodePipelineIndexPayloadDTO(InDTO):
|
||||
repo_path: str
|
||||
include_docs: bool = False
|
||||
|
||||
|
||||
class CodePipelineRetrievePayloadDTO(BaseModel):
|
||||
class CodePipelineRetrievePayloadDTO(InDTO):
|
||||
query: str
|
||||
fullInput: str
|
||||
full_input: str
|
||||
|
||||
|
||||
def get_code_pipeline_router() -> APIRouter:
|
||||
|
|
@ -34,9 +34,9 @@ def get_code_pipeline_router() -> APIRouter:
|
|||
"""This endpoint is responsible for retrieving the context."""
|
||||
try:
|
||||
query = (
|
||||
payload.fullInput.replace("cognee ", "")
|
||||
if payload.fullInput.startswith("cognee ")
|
||||
else payload.fullInput
|
||||
payload.full_input.replace("cognee ", "")
|
||||
if payload.full_input.startswith("cognee ")
|
||||
else payload.full_input
|
||||
)
|
||||
|
||||
retrieved_codeparts, __ = await code_description_to_code_part_search(
|
||||
|
|
@ -45,8 +45,8 @@ def get_code_pipeline_router() -> APIRouter:
|
|||
|
||||
return [
|
||||
{
|
||||
"name": codepart.attributes["id"],
|
||||
"description": codepart.attributes["id"],
|
||||
"name": codepart.attributes["file_path"],
|
||||
"description": codepart.attributes["file_path"],
|
||||
"content": codepart.attributes["source_code"],
|
||||
}
|
||||
for codepart in retrieved_codeparts
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ from uuid import UUID
|
|||
from datetime import datetime
|
||||
from fastapi import Depends, APIRouter
|
||||
from fastapi.responses import JSONResponse
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.api.DTO import InDTO, OutDTO
|
||||
from cognee.modules.users.models import User
|
||||
from cognee.modules.search.operations import get_history
|
||||
|
|
|
|||
|
|
@ -1,100 +0,0 @@
|
|||
"""This module contains the search function that is used to search for nodes in the graph."""
|
||||
|
||||
import asyncio
|
||||
from enum import Enum
|
||||
from typing import Dict, Any, Callable, List
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from cognee.modules.search.graph import search_cypher
|
||||
from cognee.modules.search.graph.search_adjacent import search_adjacent
|
||||
from cognee.modules.search.vector.search_traverse import search_traverse
|
||||
from cognee.modules.search.graph.search_summary import search_summary
|
||||
from cognee.modules.search.graph.search_similarity import search_similarity
|
||||
|
||||
from cognee.exceptions import UserNotFoundError
|
||||
from cognee.shared.utils import send_telemetry
|
||||
from cognee.modules.users.permissions.methods import get_document_ids_for_user
|
||||
from cognee.modules.users.methods import get_default_user
|
||||
from cognee.modules.users.models import User
|
||||
|
||||
|
||||
class SearchType(Enum):
|
||||
ADJACENT = "ADJACENT"
|
||||
TRAVERSE = "TRAVERSE"
|
||||
SIMILARITY = "SIMILARITY"
|
||||
SUMMARY = "SUMMARY"
|
||||
SUMMARY_CLASSIFICATION = "SUMMARY_CLASSIFICATION"
|
||||
NODE_CLASSIFICATION = "NODE_CLASSIFICATION"
|
||||
DOCUMENT_CLASSIFICATION = ("DOCUMENT_CLASSIFICATION",)
|
||||
CYPHER = "CYPHER"
|
||||
|
||||
@staticmethod
|
||||
def from_str(name: str):
|
||||
try:
|
||||
return SearchType[name.upper()]
|
||||
except KeyError as error:
|
||||
raise ValueError(f"{name} is not a valid SearchType") from error
|
||||
|
||||
|
||||
class SearchParameters(BaseModel):
|
||||
search_type: SearchType
|
||||
params: Dict[str, Any]
|
||||
|
||||
@field_validator("search_type", mode="before")
|
||||
def convert_string_to_enum(cls, value): # pylint: disable=no-self-argument
|
||||
if isinstance(value, str):
|
||||
return SearchType.from_str(value)
|
||||
return value
|
||||
|
||||
|
||||
async def search(search_type: str, params: Dict[str, Any], user: User = None) -> List:
|
||||
if user is None:
|
||||
user = await get_default_user()
|
||||
|
||||
if user is None:
|
||||
raise UserNotFoundError
|
||||
|
||||
own_document_ids = await get_document_ids_for_user(user.id)
|
||||
search_params = SearchParameters(search_type=search_type, params=params)
|
||||
search_results = await specific_search([search_params], user)
|
||||
|
||||
from uuid import UUID
|
||||
|
||||
filtered_search_results = []
|
||||
|
||||
for search_result in search_results:
|
||||
document_id = search_result["document_id"] if "document_id" in search_result else None
|
||||
document_id = UUID(document_id) if isinstance(document_id, str) else document_id
|
||||
|
||||
if document_id is None or document_id in own_document_ids:
|
||||
filtered_search_results.append(search_result)
|
||||
|
||||
return filtered_search_results
|
||||
|
||||
|
||||
async def specific_search(query_params: List[SearchParameters], user) -> List:
|
||||
search_functions: Dict[SearchType, Callable] = {
|
||||
SearchType.ADJACENT: search_adjacent,
|
||||
SearchType.SUMMARY: search_summary,
|
||||
SearchType.CYPHER: search_cypher,
|
||||
SearchType.TRAVERSE: search_traverse,
|
||||
SearchType.SIMILARITY: search_similarity,
|
||||
}
|
||||
|
||||
search_tasks = []
|
||||
|
||||
send_telemetry("cognee.search EXECUTION STARTED", user.id)
|
||||
|
||||
for search_param in query_params:
|
||||
search_func = search_functions.get(search_param.search_type)
|
||||
if search_func:
|
||||
# Schedule the coroutine for execution and store the task
|
||||
task = search_func(**search_param.params)
|
||||
search_tasks.append(task)
|
||||
|
||||
# Use asyncio.gather to run all scheduled tasks concurrently
|
||||
search_results = await asyncio.gather(*search_tasks)
|
||||
|
||||
send_telemetry("cognee.search EXECUTION COMPLETED", user.id)
|
||||
|
||||
return search_results[0] if len(search_results) == 1 else search_results
|
||||
|
|
@ -1,29 +1,10 @@
|
|||
import json
|
||||
from uuid import UUID
|
||||
from enum import Enum
|
||||
from typing import Callable, Dict, Union
|
||||
from typing import Union
|
||||
|
||||
from cognee.exceptions import InvalidValueError
|
||||
from cognee.modules.search.operations import log_query, log_result
|
||||
from cognee.modules.storage.utils import JSONEncoder
|
||||
from cognee.shared.utils import send_telemetry
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.users.exceptions import UserNotFoundError
|
||||
from cognee.modules.users.models import User
|
||||
from cognee.modules.users.methods import get_default_user
|
||||
from cognee.modules.users.permissions.methods import get_document_ids_for_user
|
||||
from cognee.tasks.chunks import query_chunks
|
||||
from cognee.tasks.graph import query_graph_connections
|
||||
from cognee.tasks.summarization import query_summaries
|
||||
from cognee.tasks.completion import query_completion
|
||||
from cognee.tasks.completion import graph_query_completion
|
||||
|
||||
|
||||
class SearchType(Enum):
|
||||
SUMMARIES = "SUMMARIES"
|
||||
INSIGHTS = "INSIGHTS"
|
||||
CHUNKS = "CHUNKS"
|
||||
COMPLETION = "COMPLETION"
|
||||
GRAPH_COMPLETION = "GRAPH_COMPLETION"
|
||||
from cognee.modules.search.methods import search as search_function
|
||||
|
||||
|
||||
async def search(
|
||||
|
|
@ -42,43 +23,6 @@ async def search(
|
|||
if user is None:
|
||||
raise UserNotFoundError
|
||||
|
||||
query = await log_query(query_text, str(query_type), user.id)
|
||||
|
||||
own_document_ids = await get_document_ids_for_user(user.id, datasets)
|
||||
search_results = await specific_search(query_type, query_text, user)
|
||||
|
||||
filtered_search_results = []
|
||||
|
||||
for search_result in search_results:
|
||||
document_id = search_result["document_id"] if "document_id" in search_result else None
|
||||
document_id = UUID(document_id) if isinstance(document_id, str) else document_id
|
||||
|
||||
if document_id is None or document_id in own_document_ids:
|
||||
filtered_search_results.append(search_result)
|
||||
|
||||
await log_result(query.id, json.dumps(filtered_search_results, cls=JSONEncoder), user.id)
|
||||
filtered_search_results = await search_function(query_text, query_type, datasets, user)
|
||||
|
||||
return filtered_search_results
|
||||
|
||||
|
||||
async def specific_search(query_type: SearchType, query: str, user) -> list:
|
||||
search_tasks: Dict[SearchType, Callable] = {
|
||||
SearchType.SUMMARIES: query_summaries,
|
||||
SearchType.INSIGHTS: query_graph_connections,
|
||||
SearchType.CHUNKS: query_chunks,
|
||||
SearchType.COMPLETION: query_completion,
|
||||
SearchType.GRAPH_COMPLETION: graph_query_completion,
|
||||
}
|
||||
|
||||
search_task = search_tasks.get(query_type)
|
||||
|
||||
if search_task is None:
|
||||
raise InvalidValueError(message=f"Unsupported search type: {query_type}")
|
||||
|
||||
send_telemetry("cognee.search EXECUTION STARTED", user.id)
|
||||
|
||||
results = await search_task(query)
|
||||
|
||||
send_telemetry("cognee.search EXECUTION COMPLETED", user.id)
|
||||
|
||||
return results
|
||||
|
|
|
|||
18
cognee/modules/retrieval/code_graph_retrieval.py
Normal file
18
cognee/modules/retrieval/code_graph_retrieval.py
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
from cognee.modules.retrieval.description_to_codepart_search import (
|
||||
code_description_to_code_part_search,
|
||||
)
|
||||
|
||||
|
||||
async def code_graph_retrieval(query, include_docs=False):
|
||||
retrieved_codeparts, __ = await code_description_to_code_part_search(
|
||||
query, include_docs=include_docs
|
||||
)
|
||||
|
||||
return [
|
||||
{
|
||||
"name": codepart.attributes["file_path"],
|
||||
"description": codepart.attributes["file_path"],
|
||||
"content": codepart.attributes["source_code"],
|
||||
}
|
||||
for codepart in retrieved_codeparts
|
||||
]
|
||||
|
|
@ -1,15 +1,14 @@
|
|||
import asyncio
|
||||
import logging
|
||||
|
||||
from typing import Set, List
|
||||
from typing import List
|
||||
from cognee.infrastructure.databases.graph import get_graph_engine
|
||||
from cognee.infrastructure.databases.vector import get_vector_engine
|
||||
from cognee.modules.graph.cognee_graph.CogneeGraph import CogneeGraph
|
||||
from cognee.modules.users.methods import get_default_user
|
||||
from cognee.modules.users.models import User
|
||||
from cognee.shared.utils import send_telemetry
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.api.v1.search.search_v2 import search
|
||||
from cognee.modules.search.methods import search
|
||||
from cognee.infrastructure.llm.get_llm_client import get_llm_client
|
||||
|
||||
|
||||
|
|
@ -39,7 +38,7 @@ async def code_description_to_code_part(
|
|||
include_docs(bool): Boolean showing whether we have the docs in the graph or not
|
||||
|
||||
Returns:
|
||||
Set[str]: A set of unique code parts matching the query.
|
||||
List[str]: A set of unique code parts matching the query.
|
||||
|
||||
Raises:
|
||||
ValueError: If arguments are invalid.
|
||||
|
|
@ -66,7 +65,7 @@ async def code_description_to_code_part(
|
|||
|
||||
try:
|
||||
if include_docs:
|
||||
search_results = await search(SearchType.INSIGHTS, query_text=query)
|
||||
search_results = await search(query_text=query, query_type="INSIGHTS", user=user)
|
||||
|
||||
concatenated_descriptions = " ".join(
|
||||
obj["description"]
|
||||
|
|
@ -98,6 +97,7 @@ async def code_description_to_code_part(
|
|||
"id",
|
||||
"type",
|
||||
"text",
|
||||
"file_path",
|
||||
"source_code",
|
||||
"pydantic_type",
|
||||
],
|
||||
|
|
|
|||
1
cognee/modules/search/methods/__init__.py
Normal file
1
cognee/modules/search/methods/__init__.py
Normal file
|
|
@ -0,0 +1 @@
|
|||
from .search import search
|
||||
66
cognee/modules/search/methods/search.py
Normal file
66
cognee/modules/search/methods/search.py
Normal file
|
|
@ -0,0 +1,66 @@
|
|||
import json
|
||||
from uuid import UUID
|
||||
from typing import Callable
|
||||
|
||||
from cognee.exceptions import InvalidValueError
|
||||
from cognee.modules.retrieval.code_graph_retrieval import code_graph_retrieval
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.storage.utils import JSONEncoder
|
||||
from cognee.modules.users.models import User
|
||||
from cognee.modules.users.permissions.methods import get_document_ids_for_user
|
||||
from cognee.shared.utils import send_telemetry
|
||||
from cognee.tasks.chunks import query_chunks
|
||||
from cognee.tasks.graph import query_graph_connections
|
||||
from cognee.tasks.summarization import query_summaries
|
||||
from cognee.tasks.completion import query_completion
|
||||
from cognee.tasks.completion import graph_query_completion
|
||||
from ..operations import log_query, log_result
|
||||
|
||||
|
||||
async def search(
|
||||
query_text: str,
|
||||
query_type: str,
|
||||
datasets: list[str],
|
||||
user: User,
|
||||
):
|
||||
query = await log_query(query_text, str(query_type), user.id)
|
||||
|
||||
own_document_ids = await get_document_ids_for_user(user.id, datasets)
|
||||
search_results = await specific_search(query_type, query_text, user)
|
||||
|
||||
filtered_search_results = []
|
||||
|
||||
for search_result in search_results:
|
||||
document_id = search_result["document_id"] if "document_id" in search_result else None
|
||||
document_id = UUID(document_id) if isinstance(document_id, str) else document_id
|
||||
|
||||
if document_id is None or document_id in own_document_ids:
|
||||
filtered_search_results.append(search_result)
|
||||
|
||||
await log_result(query.id, json.dumps(filtered_search_results, cls=JSONEncoder), user.id)
|
||||
|
||||
return filtered_search_results
|
||||
|
||||
|
||||
async def specific_search(query_type: SearchType, query: str, user: User) -> list:
|
||||
search_tasks: dict[SearchType, Callable] = {
|
||||
SearchType.SUMMARIES: query_summaries,
|
||||
SearchType.INSIGHTS: query_graph_connections,
|
||||
SearchType.CHUNKS: query_chunks,
|
||||
SearchType.COMPLETION: query_completion,
|
||||
SearchType.GRAPH_COMPLETION: graph_query_completion,
|
||||
SearchType.CODE: code_graph_retrieval,
|
||||
}
|
||||
|
||||
search_task = search_tasks.get(query_type)
|
||||
|
||||
if search_task is None:
|
||||
raise InvalidValueError(message=f"Unsupported search type: {query_type}")
|
||||
|
||||
send_telemetry("cognee.search EXECUTION STARTED", user.id)
|
||||
|
||||
results = await search_task(query)
|
||||
|
||||
send_telemetry("cognee.search EXECUTION COMPLETED", user.id)
|
||||
|
||||
return results
|
||||
10
cognee/modules/search/types/SearchType.py
Normal file
10
cognee/modules/search/types/SearchType.py
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
from enum import Enum
|
||||
|
||||
|
||||
class SearchType(Enum):
|
||||
SUMMARIES = "SUMMARIES"
|
||||
INSIGHTS = "INSIGHTS"
|
||||
CHUNKS = "CHUNKS"
|
||||
COMPLETION = "COMPLETION"
|
||||
GRAPH_COMPLETION = "GRAPH_COMPLETION"
|
||||
CODE = "CODE"
|
||||
1
cognee/modules/search/types/__init__.py
Normal file
1
cognee/modules/search/types/__init__.py
Normal file
|
|
@ -0,0 +1 @@
|
|||
from .SearchType import SearchType
|
||||
|
|
@ -23,6 +23,7 @@ class CodeFile(DataPoint):
|
|||
|
||||
class CodePart(DataPoint):
|
||||
__tablename__ = "codepart"
|
||||
file_path: str # file path
|
||||
# part_of: Optional[CodeFile] = None
|
||||
pydantic_type: str = "CodePart"
|
||||
source_code: Optional[str] = None
|
||||
|
|
|
|||
|
|
@ -30,6 +30,7 @@ def _add_code_parts_nodes_and_edges(code_file: CodeFile, part_type, code_parts)
|
|||
id=part_node_id,
|
||||
type=part_type,
|
||||
# part_of = code_file,
|
||||
file_path=code_file.extracted_id[len(code_file.part_of.path) + 1 :],
|
||||
source_code=code_part,
|
||||
)
|
||||
)
|
||||
|
|
|
|||
|
|
@ -2,8 +2,8 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.shared.utils import render_graph
|
||||
from cognee.modules.search.types import SearchType
|
||||
# from cognee.shared.utils import render_graph
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ import pathlib
|
|||
import cognee
|
||||
|
||||
from cognee.modules.data.models import Data
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search
|
||||
from cognee.modules.users.methods import get_default_user
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ import os
|
|||
import logging
|
||||
import pathlib
|
||||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search
|
||||
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ from swebench.harness.utils import load_swebench_dataset
|
|||
from swebench.inference.make_datasets.create_instance import PATCH_EXAMPLE
|
||||
|
||||
from cognee.api.v1.cognify.code_graph_pipeline import run_code_graph_pipeline
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.infrastructure.llm.get_llm_client import get_llm_client
|
||||
from cognee.infrastructure.llm.prompts import read_query_prompt
|
||||
from cognee.modules.retrieval.description_to_codepart_search import (
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
import cognee
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.modules.search.types import SearchType
|
||||
from cognee.infrastructure.databases.vector import get_vector_engine
|
||||
from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search
|
||||
from cognee.tasks.completion.graph_query_completion import retrieved_edges_to_string
|
||||
|
|
|
|||
|
|
@ -94,9 +94,7 @@ async def cognify_search_base_rag(content: str, context: str):
|
|||
async def cognify_search_graph(content: str, context: str):
|
||||
from cognee.api.v1.search import search, SearchType
|
||||
|
||||
params = {"query": "Donald Trump"}
|
||||
|
||||
results = await search(SearchType.INSIGHTS, params)
|
||||
results = await search(SearchType.INSIGHTS, query_text="Donald Trump")
|
||||
print("results", results)
|
||||
return results
|
||||
|
||||
|
|
|
|||
|
|
@ -5,8 +5,8 @@ import asyncio
|
|||
import cognee
|
||||
import signal
|
||||
|
||||
from cognee.api.v1.search import SearchType
|
||||
from cognee.shared.utils import setup_logging
|
||||
from cognee.modules.search.types import SearchType
|
||||
|
||||
app = modal.App("cognee-runner")
|
||||
|
||||
|
|
|
|||
8
poetry.lock
generated
8
poetry.lock
generated
|
|
@ -1071,7 +1071,6 @@ files = [
|
|||
{file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e"},
|
||||
{file = "cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053"},
|
||||
|
|
@ -1082,7 +1081,6 @@ files = [
|
|||
{file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285"},
|
||||
{file = "cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417"},
|
||||
|
|
@ -3095,6 +3093,8 @@ optional = false
|
|||
python-versions = "*"
|
||||
files = [
|
||||
{file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
|
||||
{file = "jsonpath_ng-1.7.0-py2-none-any.whl", hash = "sha256:898c93fc173f0c336784a3fa63d7434297544b7198124a68f9a3ef9597b0ae6e"},
|
||||
{file = "jsonpath_ng-1.7.0-py3-none-any.whl", hash = "sha256:f3d7f9e848cba1b6da28c55b1c26ff915dc9e0b1ba7e752a53d6da8d5cbd00b6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3694,13 +3694,17 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "
|
|||
|
||||
[[package]]
|
||||
name = "llama-index-core"
|
||||
|
||||
version = "0.12.14"
|
||||
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = true
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
|
||||
{file = "llama_index_core-0.12.14-py3-none-any.whl", hash = "sha256:6fdb30e3fadf98e7df75f9db5d06f6a7f8503ca545a71e048d786ff88012bd50"},
|
||||
{file = "llama_index_core-0.12.14.tar.gz", hash = "sha256:378bbf5bf4d1a8c692d3a980c1a6ed3be7a9afb676a4960429dea15f62d06cd3"},
|
||||
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue