From daf2d540baf5d6c7f6da92057f7bbed18d0041b6 Mon Sep 17 00:00:00 2001 From: vasilije Date: Fri, 10 Jan 2025 22:28:14 +0100 Subject: [PATCH 01/26] Add data visualization for Anthropic --- cognee-mcp/cognee_mcp/server.py | 37 +++++++++++++++++++++++++++++++++ cognee/shared/utils.py | 11 +++++++++- 2 files changed, 47 insertions(+), 1 deletion(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 19dc999d7..1cc141d0f 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -10,6 +10,8 @@ from cognee.api.v1.search import SearchType from cognee.shared.data_models import KnowledgeGraph from mcp.server import NotificationOptions, Server from mcp.server.models import InitializationOptions +from PIL import Image +from PIL import Image as PILImage server = Server("cognee-mcp") @@ -87,9 +89,36 @@ async def handle_list_tools() -> list[types.Tool]: }, }, ), + types.Tool( + name="visualize", + description="Visualize the knowledge graph.", + inputSchema={ + "type": "object", + "properties": { + "query": {"type": "string"}, + }, + }, + ), ] +def get_freshest_png(directory: str) -> Image.Image: + # List all files in 'directory' that end with .png + files = [f for f in os.listdir(directory) if f.endswith(".png")] + if not files: + raise FileNotFoundError("No PNG files found in the given directory.") + + # Sort by integer value of the filename (minus the '.png') + # Example filename: 1673185134.png -> integer 1673185134 + files_sorted = sorted(files, key=lambda x: int(x.replace(".png", ""))) + + # The "freshest" file has the largest timestamp + freshest_filename = files_sorted[-1] + freshest_path = os.path.join(directory, freshest_filename) + + # Open the image with PIL and return the PIL Image object + return Image.open(freshest_path) + @server.call_tool() async def handle_call_tool( name: str, arguments: dict | None @@ -154,6 +183,14 @@ async def handle_call_tool( text="Pruned", ) ] + + elif name == "visualize": + with open(os.devnull, "w") as fnull: + with redirect_stdout(fnull), redirect_stderr(fnull): + """Create a thumbnail from an image""" + await cognee.visualize + img = get_freshest_png(".") + return types.Image(data=img.tobytes(), format="png") else: raise ValueError(f"Unknown tool: {name}") diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index e57decde1..2dab80187 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -13,7 +13,7 @@ import matplotlib.pyplot as plt import tiktoken import nltk import base64 - +import time import logging import sys @@ -396,6 +396,7 @@ async def create_cognee_style_network_with_logo( from bokeh.embed import file_html from bokeh.resources import CDN + from bokeh.io import export_png logging.info("Converting graph to serializable format...") G = await convert_to_serializable_graph(G) @@ -443,6 +444,14 @@ async def create_cognee_style_network_with_logo( ) p.add_tools(hover_tool) + # Get the latest Unix timestamp as an integer + timestamp = int(time.time()) + + # Construct your filename + filename = f"{timestamp}.png" + + export_png(p, filename=filename) + logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) with open(output_filename, "w") as f: From b132ff499073d27dac7898c3dcab46db447529bb Mon Sep 17 00:00:00 2001 From: Vasilije <8619304+Vasilije1990@users.noreply.github.com> Date: Sat, 11 Jan 2025 16:57:22 +0100 Subject: [PATCH 02/26] Update cognee-mcp/cognee_mcp/server.py Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> --- cognee-mcp/cognee_mcp/server.py | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 1cc141d0f..07d5babe0 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -103,6 +103,9 @@ async def handle_list_tools() -> list[types.Tool]: def get_freshest_png(directory: str) -> Image.Image: + if not os.path.exists(directory): + raise FileNotFoundError(f"Directory {directory} does not exist") + # List all files in 'directory' that end with .png files = [f for f in os.listdir(directory) if f.endswith(".png")] if not files: @@ -110,14 +113,20 @@ def get_freshest_png(directory: str) -> Image.Image: # Sort by integer value of the filename (minus the '.png') # Example filename: 1673185134.png -> integer 1673185134 - files_sorted = sorted(files, key=lambda x: int(x.replace(".png", ""))) + try: + files_sorted = sorted(files, key=lambda x: int(x.replace(".png", ""))) + except ValueError as e: + raise ValueError("Invalid PNG filename format. Expected timestamp format.") from e # The "freshest" file has the largest timestamp freshest_filename = files_sorted[-1] freshest_path = os.path.join(directory, freshest_filename) # Open the image with PIL and return the PIL Image object - return Image.open(freshest_path) + try: + return Image.open(freshest_path) + except (IOError, OSError) as e: + raise IOError(f"Failed to open PNG file {freshest_path}") from e @server.call_tool() async def handle_call_tool( From 7b0bfe95040c0f7ddcf8885d688ceb676f44b9e5 Mon Sep 17 00:00:00 2001 From: Vasilije <8619304+Vasilije1990@users.noreply.github.com> Date: Sat, 11 Jan 2025 16:57:59 +0100 Subject: [PATCH 03/26] Update cognee-mcp/cognee_mcp/server.py Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> --- cognee-mcp/cognee_mcp/server.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 07d5babe0..2f7efd787 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -196,10 +196,12 @@ async def handle_call_tool( elif name == "visualize": with open(os.devnull, "w") as fnull: with redirect_stdout(fnull), redirect_stderr(fnull): - """Create a thumbnail from an image""" - await cognee.visualize - img = get_freshest_png(".") - return types.Image(data=img.tobytes(), format="png") + try: + await cognee.visualize + img = get_freshest_png(".") + return types.Image(data=img.tobytes(), format="png") + except (FileNotFoundError, IOError, ValueError) as e: + raise ValueError(f"Failed to create visualization: {str(e)}") else: raise ValueError(f"Unknown tool: {name}") From cf4737b0a26f0f2f4eaa488c72534a3614485ba0 Mon Sep 17 00:00:00 2001 From: Vasilije <8619304+Vasilije1990@users.noreply.github.com> Date: Sun, 12 Jan 2025 16:13:21 +0100 Subject: [PATCH 04/26] Update cognee-mcp/cognee_mcp/server.py Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> --- cognee-mcp/cognee_mcp/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 2f7efd787..b22cce235 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -197,7 +197,7 @@ async def handle_call_tool( with open(os.devnull, "w") as fnull: with redirect_stdout(fnull), redirect_stderr(fnull): try: - await cognee.visualize + await cognee.visualize() img = get_freshest_png(".") return types.Image(data=img.tobytes(), format="png") except (FileNotFoundError, IOError, ValueError) as e: From 55e9d64d87299bf5c6414dcad1666e671e73a7a7 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 00:40:14 +0100 Subject: [PATCH 05/26] Add data visualization for Anthropic --- cognee/shared/utils.py | 30 +++++------------------------- 1 file changed, 5 insertions(+), 25 deletions(-) diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index 2dab80187..ca8306a01 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -11,7 +11,7 @@ import networkx as nx import pandas as pd import matplotlib.pyplot as plt import tiktoken -import nltk + import base64 import time @@ -243,31 +243,9 @@ async def render_graph( # return df.replace([np.inf, -np.inf, np.nan], None) -def get_entities(tagged_tokens): - nltk.download("maxent_ne_chunker", quiet=True) - from nltk.chunk import ne_chunk - - return ne_chunk(tagged_tokens) -def extract_pos_tags(sentence): - """Extract Part-of-Speech (POS) tags for words in a sentence.""" - # Ensure that the necessary NLTK resources are downloaded - nltk.download("words", quiet=True) - nltk.download("punkt", quiet=True) - nltk.download("averaged_perceptron_tagger", quiet=True) - - from nltk.tag import pos_tag - from nltk.tokenize import word_tokenize - - # Tokenize the sentence into words - tokens = word_tokenize(sentence) - - # Tag each word with its corresponding POS tag - pos_tags = pos_tag(tokens) - - return pos_tags logging.basicConfig(level=logging.INFO) @@ -450,13 +428,15 @@ async def create_cognee_style_network_with_logo( # Construct your filename filename = f"{timestamp}.png" - export_png(p, filename=filename) + logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) with open(output_filename, "w") as f: f.write(html_content) + + logging.info("Visualization complete.") if bokeh_object: @@ -517,7 +497,7 @@ if __name__ == "__main__": G, output_filename="example_network.html", title="Example Cognee Network", - node_attribute="group", # Attribute to use for coloring nodes + label="group", # Attribute to use for coloring nodes layout_func=nx.spring_layout, # Layout function layout_scale=3.0, # Scale for the layout logo_alpha=0.2, From 047948ae543dd59360e19f2096dc2181282d50e3 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 09:57:53 +0100 Subject: [PATCH 06/26] Add data visualization for Anthropic --- cognee-mcp/README.md | 9 + cognee-mcp/cognee_mcp/server.py | 16 +- cognee-mcp/pyproject.toml | 22 +- cognee-mcp/uv.lock | 346 ++++++++---------- cognee/__init__.py | 2 +- cognee/shared/utils.py | 6 - poetry.lock | 625 ++++++++++++++++---------------- pyproject.toml | 3 +- 8 files changed, 508 insertions(+), 521 deletions(-) diff --git a/cognee-mcp/README.md b/cognee-mcp/README.md index 4ffa41e8f..de52d9b39 100644 --- a/cognee-mcp/README.md +++ b/cognee-mcp/README.md @@ -83,3 +83,12 @@ npx -y @smithery/cli install cognee --client claude Define cognify tool in server.py Restart your Claude desktop. + + +To use debugger, run: +```bash +npx @modelcontextprotocol/inspector uv --directory /Users/name/folder run cognee +``` + +To reset the installation +uv sync --dev --all-extras --reinstall diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index b22cce235..37238a783 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -3,6 +3,8 @@ import os import asyncio from contextlib import redirect_stderr, redirect_stdout +from sqlalchemy.testing.plugin.plugin_base import logging + import cognee import mcp.server.stdio import mcp.types as types @@ -11,7 +13,7 @@ from cognee.shared.data_models import KnowledgeGraph from mcp.server import NotificationOptions, Server from mcp.server.models import InitializationOptions from PIL import Image -from PIL import Image as PILImage + server = Server("cognee-mcp") @@ -197,9 +199,15 @@ async def handle_call_tool( with open(os.devnull, "w") as fnull: with redirect_stdout(fnull), redirect_stderr(fnull): try: - await cognee.visualize() - img = get_freshest_png(".") - return types.Image(data=img.tobytes(), format="png") + result = await cognee.visualize_graph() + results = retrieved_edges_to_string(result) + + return [ + types.TextContent( + type="text", + text=results, + ) + ] except (FileNotFoundError, IOError, ValueError) as e: raise ValueError(f"Failed to create visualization: {str(e)}") else: diff --git a/cognee-mcp/pyproject.toml b/cognee-mcp/pyproject.toml index 81f6c7236..37c7ab9db 100644 --- a/cognee-mcp/pyproject.toml +++ b/cognee-mcp/pyproject.toml @@ -3,10 +3,10 @@ name = "cognee-mcp" version = "0.1.0" description = "A MCP server project" readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.11.0" dependencies = [ "mcp>=1.1.1", - "openai==1.52.0", + "openai==1.59.4", "pydantic==2.8.2", "python-dotenv==1.0.1", "fastapi>=0.109.2,<0.110.0", @@ -21,18 +21,18 @@ dependencies = [ "boto3>=1.26.125,<2.0.0", "botocore>=1.35.54,<2.0.0", "gunicorn>=20.1.0,<21.0.0", - "sqlalchemy==2.0.35", - "instructor==1.5.2", + "sqlalchemy==2.0.36", + "instructor==1.7.2", "networkx>=3.2.1,<4.0.0", "aiosqlite>=0.20.0,<0.21.0", - "pandas==2.0.3", + "pandas==2.2.3", "filetype>=1.2.0,<2.0.0", "nltk>=3.8.1,<4.0.0", "dlt[sqlalchemy]>=1.4.1,<2.0.0", "aiofiles>=23.2.1,<24.0.0", "qdrant-client>=1.9.0,<2.0.0", # Optional "graphistry>=0.33.5,<0.34.0", - "tenacity>=8.4.1,<9.0.0", + "tenacity>=9.0.0", "weaviate-client==4.6.7", # Optional "scikit-learn>=1.5.0,<2.0.0", "pypdf>=4.1.0,<5.0.0", @@ -44,19 +44,19 @@ dependencies = [ "langsmith==0.1.139", # Optional "langdetect==1.0.9", "posthog>=3.5.0,<4.0.0", # Optional - "lancedb==0.15.0", - "litellm==1.49.1", + "lancedb==0.16.0", + "litellm==1.57.2", "groq==0.8.0", # Optional "langfuse>=2.32.0,<3.0.0", # Optional "pydantic-settings>=2.2.1,<3.0.0", "anthropic>=0.26.1,<1.0.0", "sentry-sdk[fastapi]>=2.9.0,<3.0.0", - "fastapi-users[sqlalchemy]", # Optional + "fastapi-users[sqlalchemy]>=14.0.0", # Optional "alembic>=1.13.3,<2.0.0", "asyncpg==0.30.0", # Optional "pgvector>=0.3.5,<0.4.0", # Optional "psycopg2>=2.9.10,<3.0.0", # Optional - "llama-index-core>=0.11.22,<0.12.0", # Optional + "llama-index-core>=0.12.0", # Optional "deepeval>=2.0.1,<3.0.0", # Optional "transformers>=4.46.3,<5.0.0", "pymilvus>=2.5.0,<3.0.0", # Optional @@ -91,4 +91,4 @@ dev = [ ] [project.scripts] -cognee = "cognee_mcp:main" +cognee = "cognee_mcp:main" \ No newline at end of file diff --git a/cognee-mcp/uv.lock b/cognee-mcp/uv.lock index b748667e1..655d5129f 100644 --- a/cognee-mcp/uv.lock +++ b/cognee-mcp/uv.lock @@ -1,10 +1,10 @@ version = 1 -requires-python = ">=3.11" +requires-python = ">=3.11.0" resolution-markers = [ - "python_full_version < '3.12'", - "python_full_version >= '3.12' and python_full_version < '3.12.4'", - "python_full_version >= '3.12.4' and python_full_version < '3.13'", "python_full_version >= '3.13'", + "python_full_version >= '3.12.4' and python_full_version < '3.13'", + "python_full_version >= '3.12' and python_full_version < '3.12.4'", + "python_full_version < '3.12'", ] [[package]] @@ -210,11 +210,11 @@ wheels = [ [[package]] name = "async-timeout" -version = "5.0.1" +version = "4.0.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", 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[metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.13" -content-hash = "1ed3780936dd2a6f79fe11072f8d2cefec848fb27092b8bc523c7bbfd936b18e" +content-hash = "75ac417135f4e7a9bd80e453658e6a4ebd168ef0b90adb872782860bf9e17563" diff --git a/pyproject.toml b/pyproject.toml index 5a0e83057..11f1effd6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -40,7 +40,6 @@ networkx = "^3.2.1" aiosqlite = "^0.20.0" pandas = "2.2.3" filetype = "^1.2.0" -nltk = "^3.8.1" dlt = {extras = ["sqlalchemy"], version = "^1.4.1"} aiofiles = "^23.2.1" qdrant-client = {version = "^1.9.0", optional = true} @@ -64,7 +63,7 @@ langfuse = "^2.32.0" pydantic-settings = "^2.2.1" anthropic = "^0.26.1" sentry-sdk = {extras = ["fastapi"], version = "^2.9.0"} -fastapi-users = {version = "*", extras = ["sqlalchemy"]} +fastapi-users = {version = "14.0.0", extras = ["sqlalchemy"]} alembic = "^1.13.3" asyncpg = {version = "0.30.0", optional = true} pgvector = {version = "^0.3.5", optional = true} From ad07bae9a781c909c67658261d579de5834ea3b1 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 14:10:23 +0100 Subject: [PATCH 07/26] Add data visualization for Anthropic --- cognee/shared/utils.py | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index 749cfef66..612a9399f 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -11,7 +11,7 @@ import networkx as nx import pandas as pd import matplotlib.pyplot as plt import tiktoken - +import nltk import base64 import time @@ -30,6 +30,34 @@ from cognee.shared.exceptions import IngestionError proxy_url = "https://test.prometh.ai" + +def get_entities(tagged_tokens): + nltk.download("maxent_ne_chunker", quiet=True) + from nltk.chunk import ne_chunk + + return ne_chunk(tagged_tokens) + + +def extract_pos_tags(sentence): + """Extract Part-of-Speech (POS) tags for words in a sentence.""" + + # Ensure that the necessary NLTK resources are downloaded + nltk.download("words", quiet=True) + nltk.download("punkt", quiet=True) + nltk.download("averaged_perceptron_tagger", quiet=True) + + from nltk.tag import pos_tag + from nltk.tokenize import word_tokenize + + # Tokenize the sentence into words + tokens = word_tokenize(sentence) + + # Tag each word with its corresponding POS tag + pos_tags = pos_tag(tokens) + + return pos_tags + + def get_anonymous_id(): """Creates or reads a anonymous user id""" home_dir = str(pathlib.Path(pathlib.Path(__file__).parent.parent.parent.resolve())) From a0e3686752e4afc53da3e6a6cd6c5f85b10d43a0 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 19:59:57 +0100 Subject: [PATCH 08/26] Update README.md --- cognee-mcp/README.md | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/cognee-mcp/README.md b/cognee-mcp/README.md index de52d9b39..8237f870e 100644 --- a/cognee-mcp/README.md +++ b/cognee-mcp/README.md @@ -37,7 +37,11 @@ source .venv/bin/activate 4. Add the new server to your Claude config: The file should be located here: ~/Library/Application\ Support/Claude/ +``` +cd ~/Library/Application\ Support/Claude/ +``` You need to create claude_desktop_config.json in this folder if it doesn't exist +Make sure to add your paths and LLM API key to the file bellow ``` @@ -90,5 +94,10 @@ To use debugger, run: npx @modelcontextprotocol/inspector uv --directory /Users/name/folder run cognee ``` -To reset the installation -uv sync --dev --all-extras --reinstall +To apply new changes while development you do: + +1. Poetry lock in cognee folder +2. uv sync --dev --all-extras --reinstall +3. npx @modelcontextprotocol/inspector uv --directory /Users/vasilije/cognee/cognee-mcp run cognee + + From 61118dda0353158ed949d04acf95867d30011d47 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 20:00:52 +0100 Subject: [PATCH 09/26] Update README.md --- cognee-mcp/README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/cognee-mcp/README.md b/cognee-mcp/README.md index 8237f870e..54b607ce5 100644 --- a/cognee-mcp/README.md +++ b/cognee-mcp/README.md @@ -42,6 +42,10 @@ cd ~/Library/Application\ Support/Claude/ ``` You need to create claude_desktop_config.json in this folder if it doesn't exist Make sure to add your paths and LLM API key to the file bellow +Use your editor of choice, for example Nano: +``` +nano claude_desktop_config.json +``` ``` From e71f852ef2ed967beff2adb566af9abb1ba7d252 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 20:25:35 +0100 Subject: [PATCH 10/26] Update README.md --- .github/workflows/dockerhub.yml | 72 ++++++++++++++++----------------- 1 file changed, 34 insertions(+), 38 deletions(-) diff --git a/.github/workflows/dockerhub.yml b/.github/workflows/dockerhub.yml index b48dde2cc..2542f85e6 100644 --- a/.github/workflows/dockerhub.yml +++ b/.github/workflows/dockerhub.yml @@ -1,51 +1,47 @@ -name: build | Build and Push Docker Image to DockerHub +name: Build and Push Docker Image on: - push: - branches: - - main + push +# branches: +# - dev jobs: docker-build-and-push: runs-on: ubuntu-latest steps: - - name: Checkout repository - uses: actions/checkout@v4 + - name: Checkout repository + uses: actions/checkout@v4 - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 - - name: Log in to Docker Hub - uses: docker/login-action@v3 - with: - username: ${{ secrets.DOCKER_USERNAME }} - password: ${{ secrets.DOCKER_PASSWORD }} + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} - - name: Extract Git information - id: git-info - run: | - echo "BRANCH_NAME=${GITHUB_REF_NAME}" >> "$GITHUB_ENV" - echo "COMMIT_SHA=${GITHUB_SHA::7}" >> "$GITHUB_ENV" + - name: Extract metadata + id: meta + uses: docker/metadata-action@v5 + with: + images: cognee/cognee + tags: | + type=ref,event=branch + type=sha,prefix={{branch}}- + type=raw,value=latest,enable={{is_default_branch}} - - name: Build and Push Docker Image - run: | - IMAGE_NAME=cognee/cognee - TAG_VERSION="${BRANCH_NAME}-${COMMIT_SHA}" + - name: Build and push + uses: docker/build-push-action@v5 + with: + context: . + platforms: linux/amd64,linux/arm64 + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} + cache-from: type=registry,ref=cognee/cognee:buildcache + cache-to: type=registry,ref=cognee/cognee:buildcache,mode=max - echo "Building image: ${IMAGE_NAME}:${TAG_VERSION}" - docker buildx build \ - --platform linux/amd64,linux/arm64 \ - --push \ - --tag "${IMAGE_NAME}:${TAG_VERSION}" \ - --tag "${IMAGE_NAME}:latest" \ - . - - - name: Verify pushed Docker images - run: | - # Verify both platform variants - for PLATFORM in "linux/amd64" "linux/arm64"; do - echo "Verifying image for $PLATFORM..." - docker buildx imagetools inspect "${IMAGE_NAME}:${TAG_VERSION}" --format "{{.Manifest.$PLATFORM.Digest}}" - done - echo "Successfully verified images in Docker Hub" + - name: Image digest + run: echo ${{ steps.build.outputs.digest }} \ No newline at end of file From 933d21aa188b3b70509d938f83741cc83906d0d5 Mon Sep 17 00:00:00 2001 From: vasilije Date: Tue, 14 Jan 2025 20:39:23 +0100 Subject: [PATCH 11/26] Update dockerhub pushes --- .github/workflows/dockerhub.yml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/.github/workflows/dockerhub.yml b/.github/workflows/dockerhub.yml index 2542f85e6..1f5a6ca59 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+ {file = "virtualenv-20.29.0.tar.gz", hash = "sha256:6345e1ff19d4b1296954cee076baaf58ff2a12a84a338c62b02eda39f20aa982"}, ] [package.dependencies] @@ -8796,4 +8797,4 @@ weaviate = ["weaviate-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.13" -content-hash = "75ac417135f4e7a9bd80e453658e6a4ebd168ef0b90adb872782860bf9e17563" +content-hash = "b0864b74a106940643b7291973c109d9d3ae3d12d7432dd9a897288503cc867f" diff --git a/pyproject.toml b/pyproject.toml index f62a37c2a..dc3af20d1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,6 +76,7 @@ unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "pp pre-commit = "^4.0.1" httpx = "0.27.0" bokeh="^3.6.2" +nltk = "^3.9.1" From 4a87df9e72843cccefc9e60b08be7658605ceda2 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:12:33 +0100 Subject: [PATCH 14/26] Update format --- .github/pull_request_template.md | 7 +++++++ .github/workflows/approve_dco.yaml | 23 +++++++++++++++++++++++ 2 files changed, 30 insertions(+) create mode 100644 .github/pull_request_template.md create mode 100644 .github/workflows/approve_dco.yaml diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 000000000..1a90cc65a --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,7 @@ + + +## Description + + +## 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 diff --git a/.github/workflows/approve_dco.yaml b/.github/workflows/approve_dco.yaml new file mode 100644 index 000000000..8992ddc2f --- /dev/null +++ b/.github/workflows/approve_dco.yaml @@ -0,0 +1,23 @@ +name: DCO Check + +on: + pull_request: + types: [opened, edited, reopened, synchronize, ready_for_review] + +jobs: + check-dco: + runs-on: ubuntu-latest + steps: + - name: Validate Developer Certificate of Origin statement + uses: actions/github-script@v6 + with: + script: | + const prBody = context.payload.pull_request.body || ''; + // This is the exact text required in the PR body: + const requiredStatement = "I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin"; + + if (!prBody.includes(requiredStatement)) { + core.setFailed( + `DCO check failed. The PR body must include the following statement:\n\n${requiredStatement}` + ); + } From 4ae8eb90ce2eb5bf2f68c13a0492d74c23dc2729 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:16:58 +0100 Subject: [PATCH 15/26] Update format --- .github/workflows/approve_dco.yaml | 42 +++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 6 deletions(-) diff --git a/.github/workflows/approve_dco.yaml b/.github/workflows/approve_dco.yaml index 8992ddc2f..467e5cc0d 100644 --- a/.github/workflows/approve_dco.yaml +++ b/.github/workflows/approve_dco.yaml @@ -11,13 +11,43 @@ jobs: - name: Validate Developer Certificate of Origin statement uses: actions/github-script@v6 with: + # If using the built-in GITHUB_TOKEN, ensure it has 'read:org' permission. + # In GitHub Enterprise or private orgs, you might need a PAT (personal access token) with read:org scope. + github-token: ${{ secrets.GITHUB_TOKEN }} script: | + const orgName = 'YOUR_ORGANIZATION_NAME'; // Replace with your org + const prUser = context.payload.pull_request.user.login; const prBody = context.payload.pull_request.body || ''; - // This is the exact text required in the PR body: + + // Exact text you require in the PR body const requiredStatement = "I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin"; - - if (!prBody.includes(requiredStatement)) { - core.setFailed( - `DCO check failed. The PR body must include the following statement:\n\n${requiredStatement}` - ); + + // 1. Check if user is in the org + let isOrgMember = false; + try { + // Attempt to get membership info + const membership = await github.rest.orgs.getMembershipForUser({ + org: orgName, + username: prUser, + }); + // If we get here without an error, user is in the org + isOrgMember = true; + console.log(`${prUser} is a member of ${orgName}. Skipping DCO check.`); + } catch (error) { + // If we get a 404, user is NOT an org member + if (error.status === 404) { + console.log(`${prUser} is NOT a member of ${orgName}. Enforcing DCO check.`); + } else { + // Some other error—fail the workflow or handle accordingly + core.setFailed(`Error checking organization membership: ${error.message}`); + } + } + + // 2. If user is not in the org, enforce the DCO statement + if (!isOrgMember) { + if (!prBody.includes(requiredStatement)) { + core.setFailed( + `DCO check failed. The PR body must include the following statement:\n\n${requiredStatement}` + ); + } } From 1af24dc652f5d4cff0ea0339d3af5fa19b4b3f4b Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:25:26 +0100 Subject: [PATCH 16/26] Update format --- cognee/shared/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index 612a9399f..944ae798e 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -23,7 +23,7 @@ from cognee.infrastructure.databases.graph import get_graph_engine from uuid import uuid4 import pathlib - +import nltk from cognee.shared.exceptions import IngestionError # Analytics Proxy Url, currently hosted by Vercel From b2355deeab7955053c3a0e9df8668a303c174ed6 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:38:59 +0100 Subject: [PATCH 17/26] Update format --- poetry.lock | 2 +- pyproject.toml | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/poetry.lock b/poetry.lock index 73881fcbb..51cd2474e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -8797,4 +8797,4 @@ weaviate = ["weaviate-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.13" -content-hash = "b0864b74a106940643b7291973c109d9d3ae3d12d7432dd9a897288503cc867f" +content-hash = "1b28050bbc5d53795ffc6a850179f3289f3df803e4b03731f35102ad1f2d390f" diff --git a/pyproject.toml b/pyproject.toml index dc3af20d1..c20630acc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -68,15 +68,15 @@ alembic = "^1.13.3" asyncpg = {version = "0.30.0", optional = true} pgvector = {version = "^0.3.5", optional = true} psycopg2 = {version = "^2.9.10", optional = true} -llama-index-core = {version = "^0.12.10.post1", optional = true} +llama-index-core = {version = "^0.12.11", optional = true} deepeval = {version = "^2.0.1", optional = true} transformers = "^4.46.3" pymilvus = {version = "^2.5.0", optional = true} -unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true } +unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.13", optional = true } pre-commit = "^4.0.1" httpx = "0.27.0" bokeh="^3.6.2" -nltk = "^3.9.1" +nltk = "3.9.1" From 5b31638bef305d40d6d9d632ddfcf3d04f021966 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:49:50 +0100 Subject: [PATCH 18/26] Update format --- .github/workflows/test_python_3_10.yml | 3 +++ .github/workflows/test_python_3_12.yml | 3 +++ 2 files changed, 6 insertions(+) diff --git a/.github/workflows/test_python_3_10.yml b/.github/workflows/test_python_3_10.yml index 2cf620a17..4ccbe44cf 100644 --- a/.github/workflows/test_python_3_10.yml +++ b/.github/workflows/test_python_3_10.yml @@ -42,6 +42,9 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_data - name: Run unit tests run: poetry run pytest cognee/tests/unit/ diff --git a/.github/workflows/test_python_3_12.yml b/.github/workflows/test_python_3_12.yml index 5a032144a..1354d6f08 100644 --- a/.github/workflows/test_python_3_12.yml +++ b/.github/workflows/test_python_3_12.yml @@ -43,6 +43,9 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_data - name: Run unit tests run: poetry run pytest cognee/tests/unit/ From f19b58a7bb61356e0bb6de484b65a0ce278667ae Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:54:02 +0100 Subject: [PATCH 19/26] Update format --- .github/workflows/test_python_3_10.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test_python_3_10.yml b/.github/workflows/test_python_3_10.yml index 4ccbe44cf..0732d13f8 100644 --- a/.github/workflows/test_python_3_10.yml +++ b/.github/workflows/test_python_3_10.yml @@ -44,7 +44,7 @@ jobs: run: poetry install --no-interaction -E docs - name: Download NLTK tokenizer data run: | - poetry run python -m nltk.downloader punkt_data + poetry run python -m nltk.downloader punkt - name: Run unit tests run: poetry run pytest cognee/tests/unit/ From 5aaf420f028d0af5d802e74d935306b8a82e80b5 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:56:54 +0100 Subject: [PATCH 20/26] Fix for now --- .../documents/UnstructuredDocument_test.py | 194 +++++++++--------- 1 file changed, 97 insertions(+), 97 deletions(-) diff --git a/cognee/tests/integration/documents/UnstructuredDocument_test.py b/cognee/tests/integration/documents/UnstructuredDocument_test.py index 773dc2293..4513da8db 100644 --- a/cognee/tests/integration/documents/UnstructuredDocument_test.py +++ b/cognee/tests/integration/documents/UnstructuredDocument_test.py @@ -3,100 +3,100 @@ import uuid from cognee.modules.data.processing.document_types.UnstructuredDocument import UnstructuredDocument - -def test_UnstructuredDocument(): - # Define file paths of test data - pptx_file_path = os.path.join( - os.sep, - *(os.path.dirname(__file__).split(os.sep)[:-2]), - "test_data", - "example.pptx", - ) - - docx_file_path = os.path.join( - os.sep, - *(os.path.dirname(__file__).split(os.sep)[:-2]), - "test_data", - "example.docx", - ) - - csv_file_path = os.path.join( - os.sep, - *(os.path.dirname(__file__).split(os.sep)[:-2]), - "test_data", - "example.csv", - ) - - xlsx_file_path = os.path.join( - os.sep, - *(os.path.dirname(__file__).split(os.sep)[:-2]), - "test_data", - "example.xlsx", - ) - - # Define test documents - pptx_document = UnstructuredDocument( - id=uuid.uuid4(), - name="example.pptx", - raw_data_location=pptx_file_path, - metadata_id=uuid.uuid4(), - mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation", - ) - - docx_document = UnstructuredDocument( - id=uuid.uuid4(), - name="example.docx", - raw_data_location=docx_file_path, - metadata_id=uuid.uuid4(), - mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", - ) - - csv_document = UnstructuredDocument( - id=uuid.uuid4(), - name="example.csv", - raw_data_location=csv_file_path, - metadata_id=uuid.uuid4(), - mime_type="text/csv", - ) - - xlsx_document = UnstructuredDocument( - id=uuid.uuid4(), - name="example.xlsx", - raw_data_location=xlsx_file_path, - metadata_id=uuid.uuid4(), - mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", - ) - - # Test PPTX - for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): - assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" - assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) - - # Test DOCX - for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): - assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" - assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" - assert "sentence_end" == paragraph_data.cut_type, ( - f" sentence_end != {paragraph_data.cut_type = }" - ) - - # TEST CSV - for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): - assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" - assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( - f"Read text doesn't match expected text: {paragraph_data.text}" - ) - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) - - # Test XLSX - for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): - assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" - assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) +# +# def test_UnstructuredDocument(): +# # Define file paths of test data +# pptx_file_path = os.path.join( +# os.sep, +# *(os.path.dirname(__file__).split(os.sep)[:-2]), +# "test_data", +# "example.pptx", +# ) +# +# docx_file_path = os.path.join( +# os.sep, +# *(os.path.dirname(__file__).split(os.sep)[:-2]), +# "test_data", +# "example.docx", +# ) +# +# csv_file_path = os.path.join( +# os.sep, +# *(os.path.dirname(__file__).split(os.sep)[:-2]), +# "test_data", +# "example.csv", +# ) +# +# xlsx_file_path = os.path.join( +# os.sep, +# *(os.path.dirname(__file__).split(os.sep)[:-2]), +# "test_data", +# "example.xlsx", +# ) +# +# # Define test documents +# pptx_document = UnstructuredDocument( +# id=uuid.uuid4(), +# name="example.pptx", +# raw_data_location=pptx_file_path, +# metadata_id=uuid.uuid4(), +# mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation", +# ) +# +# docx_document = UnstructuredDocument( +# id=uuid.uuid4(), +# name="example.docx", +# raw_data_location=docx_file_path, +# metadata_id=uuid.uuid4(), +# mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", +# ) +# +# csv_document = UnstructuredDocument( +# id=uuid.uuid4(), +# name="example.csv", +# raw_data_location=csv_file_path, +# metadata_id=uuid.uuid4(), +# mime_type="text/csv", +# ) +# +# xlsx_document = UnstructuredDocument( +# id=uuid.uuid4(), +# name="example.xlsx", +# raw_data_location=xlsx_file_path, +# metadata_id=uuid.uuid4(), +# mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", +# ) +# +# # Test PPTX +# for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): +# assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" +# assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" +# assert "sentence_cut" == paragraph_data.cut_type, ( +# f" sentence_cut != {paragraph_data.cut_type = }" +# ) +# +# # Test DOCX +# for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): +# assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" +# assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" +# assert "sentence_end" == paragraph_data.cut_type, ( +# f" sentence_end != {paragraph_data.cut_type = }" +# ) +# +# # TEST CSV +# for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): +# assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" +# assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( +# f"Read text doesn't match expected text: {paragraph_data.text}" +# ) +# assert "sentence_cut" == paragraph_data.cut_type, ( +# f" sentence_cut != {paragraph_data.cut_type = }" +# ) +# +# # Test XLSX +# for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): +# assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" +# assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" +# assert "sentence_cut" == paragraph_data.cut_type, ( +# f" sentence_cut != {paragraph_data.cut_type = }" +# ) From 72b503f198bd439396ee04cf2fda64b17489caf9 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:58:10 +0100 Subject: [PATCH 21/26] Fix for now --- .../documents/UnstructuredDocument_test.py | 194 +++++++++--------- 1 file changed, 97 insertions(+), 97 deletions(-) diff --git a/cognee/tests/integration/documents/UnstructuredDocument_test.py b/cognee/tests/integration/documents/UnstructuredDocument_test.py index 4513da8db..773dc2293 100644 --- a/cognee/tests/integration/documents/UnstructuredDocument_test.py +++ b/cognee/tests/integration/documents/UnstructuredDocument_test.py @@ -3,100 +3,100 @@ import uuid from cognee.modules.data.processing.document_types.UnstructuredDocument import UnstructuredDocument -# -# def test_UnstructuredDocument(): -# # Define file paths of test data -# pptx_file_path = os.path.join( -# os.sep, -# *(os.path.dirname(__file__).split(os.sep)[:-2]), -# "test_data", -# "example.pptx", -# ) -# -# docx_file_path = os.path.join( -# os.sep, -# *(os.path.dirname(__file__).split(os.sep)[:-2]), -# "test_data", -# "example.docx", -# ) -# -# csv_file_path = os.path.join( -# os.sep, -# *(os.path.dirname(__file__).split(os.sep)[:-2]), -# "test_data", -# "example.csv", -# ) -# -# xlsx_file_path = os.path.join( -# os.sep, -# *(os.path.dirname(__file__).split(os.sep)[:-2]), -# "test_data", -# "example.xlsx", -# ) -# -# # Define test documents -# pptx_document = UnstructuredDocument( -# id=uuid.uuid4(), -# name="example.pptx", -# raw_data_location=pptx_file_path, -# metadata_id=uuid.uuid4(), -# mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation", -# ) -# -# docx_document = UnstructuredDocument( -# id=uuid.uuid4(), -# name="example.docx", -# raw_data_location=docx_file_path, -# metadata_id=uuid.uuid4(), -# mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", -# ) -# -# csv_document = UnstructuredDocument( -# id=uuid.uuid4(), -# name="example.csv", -# raw_data_location=csv_file_path, -# metadata_id=uuid.uuid4(), -# mime_type="text/csv", -# ) -# -# xlsx_document = UnstructuredDocument( -# id=uuid.uuid4(), -# name="example.xlsx", -# raw_data_location=xlsx_file_path, -# metadata_id=uuid.uuid4(), -# mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", -# ) -# -# # Test PPTX -# for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): -# assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" -# assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" -# assert "sentence_cut" == paragraph_data.cut_type, ( -# f" sentence_cut != {paragraph_data.cut_type = }" -# ) -# -# # Test DOCX -# for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): -# assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" -# assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" -# assert "sentence_end" == paragraph_data.cut_type, ( -# f" sentence_end != {paragraph_data.cut_type = }" -# ) -# -# # TEST CSV -# for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): -# assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" -# assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( -# f"Read text doesn't match expected text: {paragraph_data.text}" -# ) -# assert "sentence_cut" == paragraph_data.cut_type, ( -# f" sentence_cut != {paragraph_data.cut_type = }" -# ) -# -# # Test XLSX -# for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): -# assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" -# assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" -# assert "sentence_cut" == paragraph_data.cut_type, ( -# f" sentence_cut != {paragraph_data.cut_type = }" -# ) + +def test_UnstructuredDocument(): + # Define file paths of test data + pptx_file_path = os.path.join( + os.sep, + *(os.path.dirname(__file__).split(os.sep)[:-2]), + "test_data", + "example.pptx", + ) + + docx_file_path = os.path.join( + os.sep, + *(os.path.dirname(__file__).split(os.sep)[:-2]), + "test_data", + "example.docx", + ) + + csv_file_path = os.path.join( + os.sep, + *(os.path.dirname(__file__).split(os.sep)[:-2]), + "test_data", + "example.csv", + ) + + xlsx_file_path = os.path.join( + os.sep, + *(os.path.dirname(__file__).split(os.sep)[:-2]), + "test_data", + "example.xlsx", + ) + + # Define test documents + pptx_document = UnstructuredDocument( + id=uuid.uuid4(), + name="example.pptx", + raw_data_location=pptx_file_path, + metadata_id=uuid.uuid4(), + mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation", + ) + + docx_document = UnstructuredDocument( + id=uuid.uuid4(), + name="example.docx", + raw_data_location=docx_file_path, + metadata_id=uuid.uuid4(), + mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ) + + csv_document = UnstructuredDocument( + id=uuid.uuid4(), + name="example.csv", + raw_data_location=csv_file_path, + metadata_id=uuid.uuid4(), + mime_type="text/csv", + ) + + xlsx_document = UnstructuredDocument( + id=uuid.uuid4(), + name="example.xlsx", + raw_data_location=xlsx_file_path, + metadata_id=uuid.uuid4(), + mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ) + + # Test PPTX + for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): + assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" + assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" + assert "sentence_cut" == paragraph_data.cut_type, ( + f" sentence_cut != {paragraph_data.cut_type = }" + ) + + # Test DOCX + for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): + assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" + assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" + assert "sentence_end" == paragraph_data.cut_type, ( + f" sentence_end != {paragraph_data.cut_type = }" + ) + + # TEST CSV + for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): + assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" + assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( + f"Read text doesn't match expected text: {paragraph_data.text}" + ) + assert "sentence_cut" == paragraph_data.cut_type, ( + f" sentence_cut != {paragraph_data.cut_type = }" + ) + + # Test XLSX + for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): + assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" + assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" + assert "sentence_cut" == paragraph_data.cut_type, ( + f" sentence_cut != {paragraph_data.cut_type = }" + ) From 7a4a0f4705c2821a4765499ef66ba15ad67cebe7 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 20:59:23 +0100 Subject: [PATCH 22/26] Fix for now --- .github/workflows/test_python_3_12.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test_python_3_12.yml b/.github/workflows/test_python_3_12.yml index 1354d6f08..b05892955 100644 --- a/.github/workflows/test_python_3_12.yml +++ b/.github/workflows/test_python_3_12.yml @@ -45,7 +45,7 @@ jobs: run: poetry install --no-interaction -E docs - name: Download NLTK tokenizer data run: | - poetry run python -m nltk.downloader punkt_data + poetry run python -m nltk.downloader punkt_tab - name: Run unit tests run: poetry run pytest cognee/tests/unit/ From 07836255ae39504d8d07e34e19eb6fd601f0bd78 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 21:02:58 +0100 Subject: [PATCH 23/26] Fix for now --- .github/workflows/test_python_3_10.yml | 3 ++- .github/workflows/test_python_3_11.yml | 5 +++++ .github/workflows/test_python_3_12.yml | 2 +- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test_python_3_10.yml b/.github/workflows/test_python_3_10.yml index 0732d13f8..90c437eb8 100644 --- a/.github/workflows/test_python_3_10.yml +++ b/.github/workflows/test_python_3_10.yml @@ -44,7 +44,8 @@ jobs: run: poetry install --no-interaction -E docs - name: Download NLTK tokenizer data run: | - poetry run python -m nltk.downloader punkt + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng + - name: Run unit tests run: poetry run pytest cognee/tests/unit/ diff --git a/.github/workflows/test_python_3_11.yml b/.github/workflows/test_python_3_11.yml index b119dbcb2..83f98c6ed 100644 --- a/.github/workflows/test_python_3_11.yml +++ b/.github/workflows/test_python_3_11.yml @@ -44,6 +44,11 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng + + - name: Run unit tests run: poetry run pytest cognee/tests/unit/ diff --git a/.github/workflows/test_python_3_12.yml b/.github/workflows/test_python_3_12.yml index b05892955..14e33551a 100644 --- a/.github/workflows/test_python_3_12.yml +++ b/.github/workflows/test_python_3_12.yml @@ -45,7 +45,7 @@ jobs: run: poetry install --no-interaction -E docs - name: Download NLTK tokenizer data run: | - poetry run python -m nltk.downloader punkt_tab + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng - name: Run unit tests run: poetry run pytest cognee/tests/unit/ From bbd51e8c27c4105edefc415ae4750b9399b9ad9b Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 21:08:54 +0100 Subject: [PATCH 24/26] Fix for now --- cognee-mcp/cognee_mcp/server.py | 1 + cognee/shared/utils.py | 16 --------- .../documents/AudioDocument_test.py | 18 +++++----- .../documents/ImageDocument_test.py | 18 +++++----- .../integration/documents/PdfDocument_test.py | 18 +++++----- .../documents/TextDocument_test.py | 18 +++++----- .../documents/UnstructuredDocument_test.py | 30 ++++++++-------- cognee/tests/test_deduplication.py | 12 +++---- cognee/tests/test_falkordb.py | 6 ++-- cognee/tests/test_library.py | 6 ++-- cognee/tests/test_pgvector.py | 36 +++++++++---------- .../chunks/chunk_by_paragraph_2_test.py | 18 +++++----- .../chunks/chunk_by_paragraph_test.py | 6 ++-- .../chunks/chunk_by_sentence_test.py | 12 +++---- .../processing/chunks/chunk_by_word_test.py | 6 ++-- 15 files changed, 103 insertions(+), 118 deletions(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 37238a783..087411fa5 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -130,6 +130,7 @@ def get_freshest_png(directory: str) -> Image.Image: except (IOError, OSError) as e: raise IOError(f"Failed to open PNG file {freshest_path}") from e + @server.call_tool() async def handle_call_tool( name: str, arguments: dict | None diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index 944ae798e..f1eae1ace 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -11,8 +11,6 @@ import networkx as nx import pandas as pd import matplotlib.pyplot as plt import tiktoken -import nltk -import base64 import time import logging @@ -30,7 +28,6 @@ from cognee.shared.exceptions import IngestionError proxy_url = "https://test.prometh.ai" - def get_entities(tagged_tokens): nltk.download("maxent_ne_chunker", quiet=True) from nltk.chunk import ne_chunk @@ -271,11 +268,6 @@ async def render_graph( # return df.replace([np.inf, -np.inf, np.nan], None) - - - - - logging.basicConfig(level=logging.INFO) @@ -450,14 +442,6 @@ async def create_cognee_style_network_with_logo( ) p.add_tools(hover_tool) - # Get the latest Unix timestamp as an integer - timestamp = int(time.time()) - - # Construct your filename - filename = f"{timestamp}.png" - - - logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) with open(output_filename, "w") as f: diff --git a/cognee/tests/integration/documents/AudioDocument_test.py b/cognee/tests/integration/documents/AudioDocument_test.py index e07a2431b..dbd43ddda 100644 --- a/cognee/tests/integration/documents/AudioDocument_test.py +++ b/cognee/tests/integration/documents/AudioDocument_test.py @@ -36,12 +36,12 @@ def test_AudioDocument(): for ground_truth, paragraph_data in zip( GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker") ): - assert ground_truth["word_count"] == paragraph_data.word_count, ( - f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' - ) - assert ground_truth["len_text"] == len(paragraph_data.text), ( - f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' - ) - assert ground_truth["cut_type"] == paragraph_data.cut_type, ( - f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' - ) + assert ( + ground_truth["word_count"] == paragraph_data.word_count + ), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' + assert ground_truth["len_text"] == len( + paragraph_data.text + ), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' + assert ( + ground_truth["cut_type"] == paragraph_data.cut_type + ), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' diff --git a/cognee/tests/integration/documents/ImageDocument_test.py b/cognee/tests/integration/documents/ImageDocument_test.py index b8d585419..c0877ae99 100644 --- a/cognee/tests/integration/documents/ImageDocument_test.py +++ b/cognee/tests/integration/documents/ImageDocument_test.py @@ -25,12 +25,12 @@ def test_ImageDocument(): for ground_truth, paragraph_data in zip( GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker") ): - assert ground_truth["word_count"] == paragraph_data.word_count, ( - f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' - ) - assert ground_truth["len_text"] == len(paragraph_data.text), ( - f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' - ) - assert ground_truth["cut_type"] == paragraph_data.cut_type, ( - f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' - ) + assert ( + ground_truth["word_count"] == paragraph_data.word_count + ), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' + assert ground_truth["len_text"] == len( + paragraph_data.text + ), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' + assert ( + ground_truth["cut_type"] == paragraph_data.cut_type + ), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' diff --git a/cognee/tests/integration/documents/PdfDocument_test.py b/cognee/tests/integration/documents/PdfDocument_test.py index fc4307846..8f28815d3 100644 --- a/cognee/tests/integration/documents/PdfDocument_test.py +++ b/cognee/tests/integration/documents/PdfDocument_test.py @@ -27,12 +27,12 @@ def test_PdfDocument(): for ground_truth, paragraph_data in zip( GROUND_TRUTH, document.read(chunk_size=1024, chunker="text_chunker") ): - assert ground_truth["word_count"] == paragraph_data.word_count, ( - f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' - ) - assert ground_truth["len_text"] == len(paragraph_data.text), ( - f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' - ) - assert ground_truth["cut_type"] == paragraph_data.cut_type, ( - f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' - ) + assert ( + ground_truth["word_count"] == paragraph_data.word_count + ), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' + assert ground_truth["len_text"] == len( + paragraph_data.text + ), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' + assert ( + ground_truth["cut_type"] == paragraph_data.cut_type + ), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' diff --git a/cognee/tests/integration/documents/TextDocument_test.py b/cognee/tests/integration/documents/TextDocument_test.py index 6daec62b7..1e143d563 100644 --- a/cognee/tests/integration/documents/TextDocument_test.py +++ b/cognee/tests/integration/documents/TextDocument_test.py @@ -39,12 +39,12 @@ def test_TextDocument(input_file, chunk_size): for ground_truth, paragraph_data in zip( GROUND_TRUTH[input_file], document.read(chunk_size=chunk_size, chunker="text_chunker") ): - assert ground_truth["word_count"] == paragraph_data.word_count, ( - f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' - ) - assert ground_truth["len_text"] == len(paragraph_data.text), ( - f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' - ) - assert ground_truth["cut_type"] == paragraph_data.cut_type, ( - f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' - ) + assert ( + ground_truth["word_count"] == paragraph_data.word_count + ), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' + assert ground_truth["len_text"] == len( + paragraph_data.text + ), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }' + assert ( + ground_truth["cut_type"] == paragraph_data.cut_type + ), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }' diff --git a/cognee/tests/integration/documents/UnstructuredDocument_test.py b/cognee/tests/integration/documents/UnstructuredDocument_test.py index 773dc2293..e0278de81 100644 --- a/cognee/tests/integration/documents/UnstructuredDocument_test.py +++ b/cognee/tests/integration/documents/UnstructuredDocument_test.py @@ -71,32 +71,32 @@ def test_UnstructuredDocument(): for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) + assert ( + "sentence_cut" == paragraph_data.cut_type + ), f" sentence_cut != {paragraph_data.cut_type = }" # Test DOCX for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" - assert "sentence_end" == paragraph_data.cut_type, ( - f" sentence_end != {paragraph_data.cut_type = }" - ) + assert ( + "sentence_end" == paragraph_data.cut_type + ), f" sentence_end != {paragraph_data.cut_type = }" # TEST CSV for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" - assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( - f"Read text doesn't match expected text: {paragraph_data.text}" - ) - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) + assert ( + "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text + ), f"Read text doesn't match expected text: {paragraph_data.text}" + assert ( + "sentence_cut" == paragraph_data.cut_type + ), f" sentence_cut != {paragraph_data.cut_type = }" # Test XLSX for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" - assert "sentence_cut" == paragraph_data.cut_type, ( - f" sentence_cut != {paragraph_data.cut_type = }" - ) + assert ( + "sentence_cut" == paragraph_data.cut_type + ), f" sentence_cut != {paragraph_data.cut_type = }" diff --git a/cognee/tests/test_deduplication.py b/cognee/tests/test_deduplication.py index 89c866f12..9c2df032d 100644 --- a/cognee/tests/test_deduplication.py +++ b/cognee/tests/test_deduplication.py @@ -30,9 +30,9 @@ async def test_deduplication(): result = await relational_engine.get_all_data_from_table("data") assert len(result) == 1, "More than one data entity was found." - assert result[0]["name"] == "Natural_language_processing_copy", ( - "Result name does not match expected value." - ) + assert ( + result[0]["name"] == "Natural_language_processing_copy" + ), "Result name does not match expected value." result = await relational_engine.get_all_data_from_table("datasets") assert len(result) == 2, "Unexpected number of datasets found." @@ -61,9 +61,9 @@ async def test_deduplication(): result = await relational_engine.get_all_data_from_table("data") assert len(result) == 1, "More than one data entity was found." - assert hashlib.md5(text.encode("utf-8")).hexdigest() in result[0]["name"], ( - "Content hash is not a part of file name." - ) + assert ( + hashlib.md5(text.encode("utf-8")).hexdigest() in result[0]["name"] + ), "Content hash is not a part of file name." await cognee.prune.prune_data() await cognee.prune.prune_system(metadata=True) diff --git a/cognee/tests/test_falkordb.py b/cognee/tests/test_falkordb.py index af0e87916..07ece9eb2 100755 --- a/cognee/tests/test_falkordb.py +++ b/cognee/tests/test_falkordb.py @@ -85,9 +85,9 @@ async def main(): from cognee.infrastructure.databases.relational import get_relational_engine - assert not os.path.exists(get_relational_engine().db_path), ( - "SQLite relational database is not empty" - ) + assert not os.path.exists( + get_relational_engine().db_path + ), "SQLite relational database is not empty" from cognee.infrastructure.databases.graph import get_graph_config diff --git a/cognee/tests/test_library.py b/cognee/tests/test_library.py index 192b67506..8352b4161 100755 --- a/cognee/tests/test_library.py +++ b/cognee/tests/test_library.py @@ -82,9 +82,9 @@ async def main(): from cognee.infrastructure.databases.relational import get_relational_engine - assert not os.path.exists(get_relational_engine().db_path), ( - "SQLite relational database is not empty" - ) + assert not os.path.exists( + get_relational_engine().db_path + ), "SQLite relational database is not empty" from cognee.infrastructure.databases.graph import get_graph_config diff --git a/cognee/tests/test_pgvector.py b/cognee/tests/test_pgvector.py index 73b6be974..c241177f0 100644 --- a/cognee/tests/test_pgvector.py +++ b/cognee/tests/test_pgvector.py @@ -24,28 +24,28 @@ async def test_local_file_deletion(data_text, file_location): data_hash = hashlib.md5(encoded_text).hexdigest() # Get data entry from database based on hash contents data = (await session.scalars(select(Data).where(Data.content_hash == data_hash))).one() - assert os.path.isfile(data.raw_data_location), ( - f"Data location doesn't exist: {data.raw_data_location}" - ) + assert os.path.isfile( + data.raw_data_location + ), f"Data location doesn't exist: {data.raw_data_location}" # Test deletion of data along with local files created by cognee await engine.delete_data_entity(data.id) - assert not os.path.exists(data.raw_data_location), ( - f"Data location still exists after deletion: {data.raw_data_location}" - ) + assert not os.path.exists( + data.raw_data_location + ), f"Data location still exists after deletion: {data.raw_data_location}" async with engine.get_async_session() as session: # Get data entry from database based on file path data = ( await session.scalars(select(Data).where(Data.raw_data_location == file_location)) ).one() - assert os.path.isfile(data.raw_data_location), ( - f"Data location doesn't exist: {data.raw_data_location}" - ) + assert os.path.isfile( + data.raw_data_location + ), f"Data location doesn't exist: {data.raw_data_location}" # Test local files not created by cognee won't get deleted await engine.delete_data_entity(data.id) - assert os.path.exists(data.raw_data_location), ( - f"Data location doesn't exists: {data.raw_data_location}" - ) + assert os.path.exists( + data.raw_data_location + ), f"Data location doesn't exists: {data.raw_data_location}" async def test_getting_of_documents(dataset_name_1): @@ -54,16 +54,16 @@ async def test_getting_of_documents(dataset_name_1): user = await get_default_user() document_ids = await get_document_ids_for_user(user.id, [dataset_name_1]) - assert len(document_ids) == 1, ( - f"Number of expected documents doesn't match {len(document_ids)} != 1" - ) + assert ( + len(document_ids) == 1 + ), f"Number of expected documents doesn't match {len(document_ids)} != 1" # Test getting of documents for search when no dataset is provided user = await get_default_user() document_ids = await get_document_ids_for_user(user.id) - assert len(document_ids) == 2, ( - f"Number of expected documents doesn't match {len(document_ids)} != 2" - ) + assert ( + len(document_ids) == 2 + ), f"Number of expected documents doesn't match {len(document_ids)} != 2" async def main(): diff --git a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py index d8680a604..53098fc67 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py @@ -17,9 +17,9 @@ batch_paragraphs_vals = [True, False] def test_chunk_by_paragraph_isomorphism(input_text, paragraph_length, batch_paragraphs): chunks = chunk_by_paragraph(input_text, paragraph_length, batch_paragraphs) reconstructed_text = "".join([chunk["text"] for chunk in chunks]) - assert reconstructed_text == input_text, ( - f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" - ) + assert ( + reconstructed_text == input_text + ), f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" @pytest.mark.parametrize( @@ -36,9 +36,9 @@ def test_paragraph_chunk_length(input_text, paragraph_length, batch_paragraphs): chunk_lengths = np.array([len(list(chunk_by_word(chunk["text"]))) for chunk in chunks]) larger_chunks = chunk_lengths[chunk_lengths > paragraph_length] - assert np.all(chunk_lengths <= paragraph_length), ( - f"{paragraph_length = }: {larger_chunks} are too large" - ) + assert np.all( + chunk_lengths <= paragraph_length + ), f"{paragraph_length = }: {larger_chunks} are too large" @pytest.mark.parametrize( @@ -50,6 +50,6 @@ def test_chunk_by_paragraph_chunk_numbering(input_text, paragraph_length, batch_ data=input_text, paragraph_length=paragraph_length, batch_paragraphs=batch_paragraphs ) chunk_indices = np.array([chunk["chunk_index"] for chunk in chunks]) - assert np.all(chunk_indices == np.arange(len(chunk_indices))), ( - f"{chunk_indices = } are not monotonically increasing" - ) + assert np.all( + chunk_indices == np.arange(len(chunk_indices)) + ), f"{chunk_indices = } are not monotonically increasing" diff --git a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py index e420b2e9f..e7d9a54ba 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py @@ -58,9 +58,9 @@ def run_chunking_test(test_text, expected_chunks): for expected_chunks_item, chunk in zip(expected_chunks, chunks): for key in ["text", "word_count", "cut_type"]: - assert chunk[key] == expected_chunks_item[key], ( - f"{key = }: {chunk[key] = } != {expected_chunks_item[key] = }" - ) + assert ( + chunk[key] == expected_chunks_item[key] + ), f"{key = }: {chunk[key] = } != {expected_chunks_item[key] = }" def test_chunking_whole_text(): diff --git a/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py b/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py index efa053077..d1c75d7ed 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py @@ -16,9 +16,9 @@ maximum_length_vals = [None, 8, 64] def test_chunk_by_sentence_isomorphism(input_text, maximum_length): chunks = chunk_by_sentence(input_text, maximum_length) reconstructed_text = "".join([chunk[1] for chunk in chunks]) - assert reconstructed_text == input_text, ( - f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" - ) + assert ( + reconstructed_text == input_text + ), f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" @pytest.mark.parametrize( @@ -36,6 +36,6 @@ def test_paragraph_chunk_length(input_text, maximum_length): chunk_lengths = np.array([len(list(chunk_by_word(chunk[1]))) for chunk in chunks]) larger_chunks = chunk_lengths[chunk_lengths > maximum_length] - assert np.all(chunk_lengths <= maximum_length), ( - f"{maximum_length = }: {larger_chunks} are too large" - ) + assert np.all( + chunk_lengths <= maximum_length + ), f"{maximum_length = }: {larger_chunks} are too large" diff --git a/cognee/tests/unit/processing/chunks/chunk_by_word_test.py b/cognee/tests/unit/processing/chunks/chunk_by_word_test.py index d79fcdbc8..fb26638cb 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_word_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_word_test.py @@ -17,9 +17,9 @@ from cognee.tests.unit.processing.chunks.test_input import INPUT_TEXTS def test_chunk_by_word_isomorphism(input_text): chunks = chunk_by_word(input_text) reconstructed_text = "".join([chunk[0] for chunk in chunks]) - assert reconstructed_text == input_text, ( - f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" - ) + assert ( + reconstructed_text == input_text + ), f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" @pytest.mark.parametrize( From cb7b2d311e21f21f320d811198bff769f47c1730 Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 21:36:25 +0100 Subject: [PATCH 25/26] Fix for now --- cognee-mcp/cognee_mcp/server.py | 4 +--- cognee-mcp/uv.lock | 6 ++++-- cognee/api/v1/visualize/visualize.py | 1 + cognee/shared/utils.py | 7 ++++++- 4 files changed, 12 insertions(+), 6 deletions(-) diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py index 087411fa5..6ae93934e 100644 --- a/cognee-mcp/cognee_mcp/server.py +++ b/cognee-mcp/cognee_mcp/server.py @@ -200,9 +200,7 @@ async def handle_call_tool( with open(os.devnull, "w") as fnull: with redirect_stdout(fnull), redirect_stderr(fnull): try: - result = await cognee.visualize_graph() - results = retrieved_edges_to_string(result) - + results = await cognee.visualize_graph() return [ types.TextContent( type="text", diff --git a/cognee-mcp/uv.lock b/cognee-mcp/uv.lock index 63b23a11e..503a1ba82 100644 --- a/cognee-mcp/uv.lock +++ b/cognee-mcp/uv.lock @@ -597,6 +597,7 @@ dependencies = [ { name = "matplotlib" }, { name = "nest-asyncio" }, { name = "networkx" }, + { name = "nltk" }, { name = "numpy" }, { name = "openai" }, { name = "pandas" }, @@ -646,11 +647,12 @@ requires-dist = [ { name = "langfuse", specifier = ">=2.32.0,<3.0.0" }, { name = "langsmith", marker = "extra == 'langchain'", specifier = "==0.2.3" }, { name = "litellm", specifier = "==1.57.2" }, - { name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.10.post1,<0.13.0" }, + { name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.11,<0.13.0" }, { name = "matplotlib", specifier = ">=3.8.3,<4.0.0" }, { name = "neo4j", marker = "extra == 'neo4j'", specifier = ">=5.20.0,<6.0.0" }, { name = "nest-asyncio", specifier = "==1.6.0" }, { name = "networkx", specifier = ">=3.2.1,<4.0.0" }, + { name = "nltk", specifier = "==3.9.1" }, { name = "numpy", specifier = "==1.26.4" }, { name = "openai", specifier = "==1.59.4" }, { name = "pandas", specifier = "==2.2.3" }, @@ -672,7 +674,7 @@ requires-dist = [ { name = "tiktoken", specifier = "==0.7.0" }, { name = "transformers", specifier = ">=4.46.3,<5.0.0" }, { name = "typing-extensions", specifier = "==4.12.2" }, - { name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], marker = "extra == 'docs'", specifier = ">=0.16.10,<0.17.0" }, + { 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" }, { name = "uvicorn", specifier = "==0.22.0" }, { name = "weaviate-client", marker = "extra == 'weaviate'", specifier = "==4.9.6" }, ] diff --git a/cognee/api/v1/visualize/visualize.py b/cognee/api/v1/visualize/visualize.py index 3267f9d3d..4c4c613c8 100644 --- a/cognee/api/v1/visualize/visualize.py +++ b/cognee/api/v1/visualize/visualize.py @@ -10,5 +10,6 @@ async def visualize_graph(label: str = "name"): logging.info(graph_data) graph = await create_cognee_style_network_with_logo(graph_data, label=label) + logging.info("The HTML file has been stored on your home directory! Navigate there with cd ~") return graph diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index f1eae1ace..f11b77ae6 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -444,7 +444,12 @@ async def create_cognee_style_network_with_logo( logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) - with open(output_filename, "w") as f: + + home_dir = os.path.expanduser('~') + + # Construct the final output file path + output_filepath = os.path.join(home_dir, output_filename) + with open(output_filepath, "w") as f: f.write(html_content) return html_content From fe47253b040e03afae6eb8877a47670235a3b85f Mon Sep 17 00:00:00 2001 From: vasilije Date: Thu, 16 Jan 2025 21:37:37 +0100 Subject: [PATCH 26/26] Fix for now --- .../databases/graph/neo4j_driver/adapter.py | 12 ++++++---- .../hybrid/falkordb/FalkorDBAdapter.py | 24 ++++++++++++------- .../sqlalchemy/SqlAlchemyAdapter.py | 6 +++-- cognee/shared/utils.py | 2 +- 4 files changed, 29 insertions(+), 15 deletions(-) diff --git a/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py b/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py index 3543418fc..2f9d42b06 100644 --- a/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py +++ b/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py @@ -62,10 +62,12 @@ class Neo4jAdapter(GraphDBInterface): async def add_node(self, node: DataPoint): serialized_properties = self.serialize_properties(node.model_dump()) - query = dedent("""MERGE (node {id: $node_id}) + query = dedent( + """MERGE (node {id: $node_id}) ON CREATE SET node += $properties, node.updated_at = timestamp() ON MATCH SET node += $properties, node.updated_at = timestamp() - RETURN ID(node) AS internal_id, node.id AS nodeId""") + RETURN ID(node) AS internal_id, node.id AS nodeId""" + ) params = { "node_id": str(node.id), @@ -182,13 +184,15 @@ class Neo4jAdapter(GraphDBInterface): ): serialized_properties = self.serialize_properties(edge_properties) - query = dedent("""MATCH (from_node {id: $from_node}), + query = dedent( + """MATCH (from_node {id: $from_node}), (to_node {id: $to_node}) MERGE (from_node)-[r]->(to_node) ON CREATE SET r += $properties, r.updated_at = timestamp(), r.type = $relationship_name ON MATCH SET r += $properties, r.updated_at = timestamp() RETURN r - """) + """ + ) params = { "from_node": str(from_node), diff --git a/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py b/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py index 77bfd74e6..dd8934c34 100644 --- a/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py +++ b/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py @@ -88,23 +88,27 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): } ) - return dedent(f""" + return dedent( + f""" MERGE (node:{node_label} {{id: '{str(data_point.id)}'}}) ON CREATE SET node += ({{{node_properties}}}), node.updated_at = timestamp() ON MATCH SET node += ({{{node_properties}}}), node.updated_at = timestamp() - """).strip() + """ + ).strip() async def create_edge_query(self, edge: tuple[str, str, str, dict]) -> str: properties = await self.stringify_properties(edge[3]) properties = f"{{{properties}}}" - return dedent(f""" + return dedent( + f""" MERGE (source {{id:'{edge[0]}'}}) MERGE (target {{id: '{edge[1]}'}}) MERGE (source)-[edge:{edge[2]} {properties}]->(target) ON MATCH SET edge.updated_at = timestamp() ON CREATE SET edge.updated_at = timestamp() - """).strip() + """ + ).strip() async def create_collection(self, collection_name: str): pass @@ -195,12 +199,14 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): self.query(query) async def has_edges(self, edges): - query = dedent(""" + query = dedent( + """ UNWIND $edges AS edge MATCH (a)-[r]->(b) WHERE id(a) = edge.from_node AND id(b) = edge.to_node AND type(r) = edge.relationship_name RETURN edge.from_node AS from_node, edge.to_node AS to_node, edge.relationship_name AS relationship_name, count(r) > 0 AS edge_exists - """).strip() + """ + ).strip() params = { "edges": [ @@ -279,14 +285,16 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): [label, attribute_name] = collection_name.split(".") - query = dedent(f""" + query = dedent( + f""" CALL db.idx.vector.queryNodes( '{label}', '{attribute_name}', {limit}, vecf32({query_vector}) ) YIELD node, score - """).strip() + """ + ).strip() result = self.query(query) diff --git a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py index 6c3c5029d..68561979d 100644 --- a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py +++ b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py @@ -93,10 +93,12 @@ class SQLAlchemyAdapter: if self.engine.dialect.name == "postgresql": async with self.engine.begin() as connection: result = await connection.execute( - text(""" + text( + """ SELECT schema_name FROM information_schema.schemata WHERE schema_name NOT IN ('pg_catalog', 'pg_toast', 'information_schema'); - """) + """ + ) ) return [schema[0] for schema in result.fetchall()] return [] diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index f11b77ae6..6b1ca7f8f 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -445,7 +445,7 @@ async def create_cognee_style_network_with_logo( logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) - home_dir = os.path.expanduser('~') + home_dir = os.path.expanduser("~") # Construct the final output file path output_filepath = os.path.join(home_dir, output_filename)