Merge branch 'COG-adding_html_graph_render' of github.com:topoteretes/cognee into COG-adding_html_graph_render

.github/workflows/reusable_python_example.yml

@@ -33,7 +33,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11.x'
+          python-version: '3.12.x'
 
       - name: Install Poetry
         uses: snok/install-poetry@v1

cognee/shared/utils.py

@@ -13,12 +13,7 @@ import matplotlib.pyplot as plt
 import tiktoken
 import nltk
 import base64
-from bokeh.plotting import figure, from_networkx
-from bokeh.models import Circle, MultiLine, HoverTool, ColumnDataSource, Range1d
-from bokeh.plotting import output_file, show
 
-from bokeh.embed import file_html
-from bokeh.resources import CDN
 
 import logging
 import sys
@@ -364,6 +359,12 @@ def style_and_render_graph(p, G, layout_positions, node_attribute, node_colors,
     """
     Apply styling and render the graph into the plot.
     """
+    from bokeh.plotting import figure, from_networkx
+    from bokeh.models import Circle, MultiLine, HoverTool, ColumnDataSource, Range1d
+    from bokeh.plotting import output_file, show
+
+    from bokeh.embed import file_html
+    from bokeh.resources import CDN
     graph_renderer = from_networkx(G, layout_positions)
     node_radii = [0.02 + 0.1 * centrality[node] for node in G.nodes()]
     graph_renderer.node_renderer.data_source.data["radius"] = node_radii
@@ -397,6 +398,12 @@ async def create_cognee_style_network_with_logo(
     """
     Create a Cognee-inspired network visualization with an embedded logo.
     """
+    from bokeh.plotting import figure, from_networkx
+    from bokeh.models import Circle, MultiLine, HoverTool, ColumnDataSource, Range1d
+    from bokeh.plotting import output_file, show
+
+    from bokeh.embed import file_html
+    from bokeh.resources import CDN
     logging.info("Converting graph to serializable format...")
     G = await convert_to_serializable_graph(G)
 

pyproject.toml

@@ -18,8 +18,8 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.10.0,<3.12"
-openai = "1.59.4"
+python = ">=3.9.0,<3.13"
+openai = "1.52.0"
 pydantic = "2.8.2"
 python-dotenv = "1.0.1"
 fastapi = ">=0.109.2,<0.116.0"
@@ -34,18 +34,18 @@ falkordb = {version = "1.0.9", optional = true}
 boto3 = "^1.26.125"
 botocore="^1.35.54"
 gunicorn = "^20.1.0"
-sqlalchemy = "2.0.36"
-instructor = "1.7.2"
+sqlalchemy = "2.0.35"
+instructor = "1.5.2"
 networkx = "^3.2.1"
 aiosqlite = "^0.20.0"
-pandas = "2.2.3"
+pandas = "2.0.3"
 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}
 graphistry = "^0.33.5"
-tenacity = "^9.0.0"
+tenacity = "^8.4.1"
 weaviate-client = {version = "4.9.6", optional = true}
 scikit-learn = "^1.5.0"
 pypdf = "^4.1.0"
@@ -58,7 +58,7 @@ langsmith = {version = "0.2.3", optional = true}
 langdetect = "1.0.9"
 posthog = {version = "^3.5.0", optional = true}
 lancedb = "0.16.0"
-litellm = "1.57.2"
+litellm = "1.49.1"
 groq = {version = "0.8.0", optional = true}
 langfuse = "^2.32.0"
 pydantic-settings = "^2.2.1"
@@ -69,16 +69,14 @@ 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 = "^0.11.22", 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 = "^0.16.12", optional = true }
+unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true }
 pre-commit = "^4.0.1"
 httpx = "0.27.0"
-bokeh="^3.6.2"
-svglib = "^1.5.1"
-reportlab = "^4.2.5"
+