diff --git a/.github/actions/cognee_setup/action.yml b/.github/actions/cognee_setup/action.yml
index 9ae669b53..e46a42edb 100644
--- a/.github/actions/cognee_setup/action.yml
+++ b/.github/actions/cognee_setup/action.yml
@@ -24,7 +24,7 @@ runs:
uses: astral-sh/setup-uv@v4
with:
enable-cache: true
-
+
- name: Rebuild uv lockfile
shell: bash
run: |
diff --git a/.github/workflows/basic_tests.yml b/.github/workflows/basic_tests.yml
index e2264da3d..3f3e644a2 100644
--- a/.github/workflows/basic_tests.yml
+++ b/.github/workflows/basic_tests.yml
@@ -188,6 +188,7 @@ jobs:
uses: ./.github/actions/cognee_setup
with:
python-version: ${{ inputs.python-version }}
+ extra-dependencies: "baml"
- name: Run Simple Examples
run: uv run python ./examples/python/simple_example.py
diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml
index af3a3ff44..3fe7a7992 100644
--- a/.github/workflows/e2e_tests.yml
+++ b/.github/workflows/e2e_tests.yml
@@ -166,9 +166,6 @@ jobs:
python-version: '3.11.x'
extra-dependencies: "aws"
- - name: Dependencies already installed
- run: echo "Dependencies already installed in setup"
-
- name: Run S3 Bucket Test
env:
ENV: 'dev'
diff --git a/.github/workflows/test_s3_file_storage.yml b/.github/workflows/test_s3_file_storage.yml
index c4866ec2d..a477d8933 100644
--- a/.github/workflows/test_s3_file_storage.yml
+++ b/.github/workflows/test_s3_file_storage.yml
@@ -18,6 +18,7 @@ jobs:
uses: ./.github/actions/cognee_setup
with:
python-version: '3.11.x'
+ extra-dependencies: "aws"
- name: Run S3 File Storage Test
env:
diff --git a/cognee/api/client.py b/cognee/api/client.py
index 7d5f48672..f129ff2ec 100644
--- a/cognee/api/client.py
+++ b/cognee/api/client.py
@@ -3,7 +3,6 @@
import os
import uvicorn
-import sentry_sdk
from traceback import format_exc
from contextlib import asynccontextmanager
from fastapi import Request
@@ -42,11 +41,18 @@ from cognee.modules.users.methods.get_authenticated_user import REQUIRE_AUTHENTI
logger = get_logger()
if os.getenv("ENV", "prod") == "prod":
- sentry_sdk.init(
- dsn=os.getenv("SENTRY_REPORTING_URL"),
- traces_sample_rate=1.0,
- profiles_sample_rate=1.0,
- )
+ try:
+ import sentry_sdk
+
+ sentry_sdk.init(
+ dsn=os.getenv("SENTRY_REPORTING_URL"),
+ traces_sample_rate=1.0,
+ profiles_sample_rate=1.0,
+ )
+ except ImportError:
+ logger.info(
+ "Sentry SDK not available. Install with 'pip install cognee\"[monitoring]\"' to enable error monitoring."
+ )
app_environment = os.getenv("ENV", "prod")
diff --git a/cognee/eval_framework/modal_eval_dashboard.py b/cognee/eval_framework/modal_eval_dashboard.py
index acc0c3aa9..9b1147528 100644
--- a/cognee/eval_framework/modal_eval_dashboard.py
+++ b/cognee/eval_framework/modal_eval_dashboard.py
@@ -1,6 +1,6 @@
import os
import json
-import pandas as pd
+
import subprocess
import modal
import streamlit as st
@@ -78,6 +78,14 @@ def main():
}
)
+ try:
+ import pandas as pd
+ except ImportError:
+ st.error(
+ "Pandas is required for the evaluation dashboard. Install with 'pip install cognee\"[evals]\"' to use this feature."
+ )
+ return
+
df = pd.DataFrame(records)
if df.empty:
st.warning("No JSON files found in the volume.")
diff --git a/cognee/infrastructure/data/utils/extract_keywords.py b/cognee/infrastructure/data/utils/extract_keywords.py
deleted file mode 100644
index 8085459c9..000000000
--- a/cognee/infrastructure/data/utils/extract_keywords.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from sklearn.feature_extraction.text import TfidfVectorizer
-
-from cognee.infrastructure.data.exceptions.exceptions import KeywordExtractionError
-from cognee.shared.utils import extract_pos_tags
-
-
-def extract_keywords(text: str) -> list[str]:
- """
- Extract keywords from the provided text string.
-
- This function raises an KeyWordExtractionError if the input text is empty. It processes the
- text to extract parts of speech, focusing on nouns, and uses TF-IDF to identify the most
- relevant keywords based on their frequency. The function returns a list of up to 15
- keywords, each having more than 3 characters.
-
- Parameters:
- -----------
-
- - text (str): The input text from which to extract keywords.
-
- Returns:
- --------
-
- - list[str]: A list of keywords extracted from the text, containing up to 15 nouns
- with more than 3 characters.
- """
- if len(text) == 0:
- raise KeywordExtractionError()
-
- tags = extract_pos_tags(text)
- nouns = [word for (word, tag) in tags if tag == "NN"]
-
- vectorizer = TfidfVectorizer()
- tfidf = vectorizer.fit_transform(nouns)
-
- top_nouns = sorted(
- vectorizer.vocabulary_, key=lambda x: tfidf[0, vectorizer.vocabulary_[x]], reverse=True
- )
-
- keywords = []
-
- for word in top_nouns:
- if len(word) > 3:
- keywords.append(word)
- if len(keywords) >= 15:
- break
-
- return keywords
diff --git a/cognee/infrastructure/databases/relational/create_relational_engine.py b/cognee/infrastructure/databases/relational/create_relational_engine.py
index a889e1758..deaeaa2da 100644
--- a/cognee/infrastructure/databases/relational/create_relational_engine.py
+++ b/cognee/infrastructure/databases/relational/create_relational_engine.py
@@ -39,8 +39,16 @@ def create_relational_engine(
connection_string = f"sqlite+aiosqlite:///{db_path}/{db_name}"
if db_provider == "postgres":
- connection_string = (
- f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
- )
+ try:
+ # Test if asyncpg is available
+ import asyncpg
+
+ connection_string = (
+ f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
+ )
+ except ImportError:
+ raise ImportError(
+ "PostgreSQL dependencies are not installed. Please install with 'pip install cognee\"[postgres]\"' or 'pip install cognee\"[postgres-binary]\"' to use PostgreSQL functionality."
+ )
return SQLAlchemyAdapter(connection_string)
diff --git a/cognee/infrastructure/databases/vector/create_vector_engine.py b/cognee/infrastructure/databases/vector/create_vector_engine.py
index 77bf7d83f..5c4e93359 100644
--- a/cognee/infrastructure/databases/vector/create_vector_engine.py
+++ b/cognee/infrastructure/databases/vector/create_vector_engine.py
@@ -66,7 +66,12 @@ def create_vector_engine(
f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
)
- from .pgvector.PGVectorAdapter import PGVectorAdapter
+ try:
+ from .pgvector.PGVectorAdapter import PGVectorAdapter
+ except ImportError:
+ raise ImportError(
+ "PostgreSQL dependencies are not installed. Please install with 'pip install cognee\"[postgres]\"' or 'pip install cognee\"[postgres-binary]\"' to use PGVector functionality."
+ )
return PGVectorAdapter(
connection_string,
diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
index 0184ec3ee..0c93f81e7 100644
--- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
+++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
@@ -205,9 +205,12 @@ class LanceDBAdapter(VectorDBInterface):
collection = await self.get_collection(collection_name)
if len(data_point_ids) == 1:
- results = await collection.query().where(f"id = '{data_point_ids[0]}'").to_pandas()
+ results = await collection.query().where(f"id = '{data_point_ids[0]}'")
else:
- results = await collection.query().where(f"id IN {tuple(data_point_ids)}").to_pandas()
+ results = await collection.query().where(f"id IN {tuple(data_point_ids)}")
+
+ # Convert query results to list format
+ results_list = results.to_list() if hasattr(results, "to_list") else list(results)
return [
ScoredResult(
@@ -215,7 +218,7 @@ class LanceDBAdapter(VectorDBInterface):
payload=result["payload"],
score=0,
)
- for result in results.to_dict("index").values()
+ for result in results_list
]
async def search(
@@ -242,9 +245,7 @@ class LanceDBAdapter(VectorDBInterface):
if limit == 0:
return []
- results = await collection.vector_search(query_vector).limit(limit).to_pandas()
-
- result_values = list(results.to_dict("index").values())
+ result_values = await collection.vector_search(query_vector).limit(limit).to_list()
if not result_values:
return []
diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
index 4dfd9792f..d20d7d519 100644
--- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
+++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
@@ -9,7 +9,6 @@ from sqlalchemy.exc import ProgrammingError
from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_exponential
from asyncpg import DeadlockDetectedError, DuplicateTableError, UniqueViolationError
-
from cognee.shared.logging_utils import get_logger
from cognee.infrastructure.engine import DataPoint
from cognee.infrastructure.engine.utils import parse_id
diff --git a/cognee/infrastructure/files/storage/S3FileStorage.py b/cognee/infrastructure/files/storage/S3FileStorage.py
index ca2a73291..4c986bbe9 100644
--- a/cognee/infrastructure/files/storage/S3FileStorage.py
+++ b/cognee/infrastructure/files/storage/S3FileStorage.py
@@ -1,6 +1,5 @@
import os
-import s3fs
-from typing import BinaryIO, Union
+from typing import BinaryIO, Union, TYPE_CHECKING
from contextlib import asynccontextmanager
from cognee.infrastructure.files.storage.s3_config import get_s3_config
@@ -8,17 +7,27 @@ from cognee.infrastructure.utils.run_async import run_async
from cognee.infrastructure.files.storage.FileBufferedReader import FileBufferedReader
from .storage import Storage
+if TYPE_CHECKING:
+ import s3fs
+
class S3FileStorage(Storage):
"""
- Manage local file storage operations such as storing, retrieving, and managing files on
- the filesystem.
+ Manage S3 file storage operations such as storing, retrieving, and managing files on
+ S3-compatible storage.
"""
storage_path: str
- s3: s3fs.S3FileSystem
+ s3: "s3fs.S3FileSystem"
def __init__(self, storage_path: str):
+ try:
+ import s3fs
+ except ImportError:
+ raise ImportError(
+ 's3fs is required for S3FileStorage. Install it with: pip install cognee"[aws]"'
+ )
+
self.storage_path = storage_path
s3_config = get_s3_config()
if s3_config.aws_access_key_id is not None and s3_config.aws_secret_access_key is not None:
diff --git a/cognee/infrastructure/files/utils/open_data_file.py b/cognee/infrastructure/files/utils/open_data_file.py
index 171f5deb7..ad8a6b63e 100644
--- a/cognee/infrastructure/files/utils/open_data_file.py
+++ b/cognee/infrastructure/files/utils/open_data_file.py
@@ -4,7 +4,6 @@ from urllib.parse import urlparse
from contextlib import asynccontextmanager
from cognee.infrastructure.files.utils.get_data_file_path import get_data_file_path
-from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
@@ -23,23 +22,17 @@ async def open_data_file(file_path: str, mode: str = "rb", encoding: str = None,
yield file
elif file_path.startswith("s3://"):
+ try:
+ from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+ except ImportError:
+ raise ImportError(
+ "S3 dependencies are not installed. Please install with 'pip install cognee\"[aws]\"' to use S3 functionality."
+ )
+
normalized_url = get_data_file_path(file_path)
s3_dir_path = os.path.dirname(normalized_url)
s3_filename = os.path.basename(normalized_url)
- # if "/" in s3_path:
- # s3_dir = "/".join(s3_path.split("/")[:-1])
- # s3_filename = s3_path.split("/")[-1]
- # else:
- # s3_dir = ""
- # s3_filename = s3_path
-
- # Extract filesystem path from S3 URL structure
- # file_dir_path = (
- # f"s3://{parsed_url.netloc}/{s3_dir}" if s3_dir else f"s3://{parsed_url.netloc}"
- # )
- # file_name = s3_filename
-
file_storage = S3FileStorage(s3_dir_path)
async with file_storage.open(s3_filename, mode=mode, **kwargs) as file:
diff --git a/cognee/infrastructure/llm/config.py b/cognee/infrastructure/llm/config.py
index 495b583d6..6658a6251 100644
--- a/cognee/infrastructure/llm/config.py
+++ b/cognee/infrastructure/llm/config.py
@@ -1,9 +1,13 @@
import os
-from typing import Optional, ClassVar
+from typing import Optional, ClassVar, Any
from functools import lru_cache
from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic import model_validator
-from baml_py import ClientRegistry
+
+try:
+ from baml_py import ClientRegistry
+except ImportError:
+ ClientRegistry = None
class LLMConfig(BaseSettings):
@@ -65,27 +69,36 @@ class LLMConfig(BaseSettings):
fallback_endpoint: str = ""
fallback_model: str = ""
- baml_registry: ClassVar[ClientRegistry] = ClientRegistry()
+ baml_registry: Optional[Any] = None
model_config = SettingsConfigDict(env_file=".env", extra="allow")
def model_post_init(self, __context) -> None:
"""Initialize the BAML registry after the model is created."""
- raw_options = {
- "model": self.baml_llm_model,
- "temperature": self.baml_llm_temperature,
- "api_key": self.baml_llm_api_key,
- "base_url": self.baml_llm_endpoint,
- "api_version": self.baml_llm_api_version,
- }
+ # Check if BAML is selected as structured output framework but not available
+ if self.structured_output_framework.lower() == "baml" and ClientRegistry is None:
+ raise ImportError(
+ "BAML is selected as structured output framework but not available. "
+ "Please install with 'pip install cognee\"[baml]\"' to use BAML extraction features."
+ )
+ elif self.structured_output_framework.lower() == "baml" and ClientRegistry is not None:
+ self.baml_registry = ClientRegistry()
- # Note: keep the item only when the value is not None or an empty string (they would override baml default values)
- options = {k: v for k, v in raw_options.items() if v not in (None, "")}
- self.baml_registry.add_llm_client(
- name=self.baml_llm_provider, provider=self.baml_llm_provider, options=options
- )
- # Sets the primary client
- self.baml_registry.set_primary(self.baml_llm_provider)
+ raw_options = {
+ "model": self.baml_llm_model,
+ "temperature": self.baml_llm_temperature,
+ "api_key": self.baml_llm_api_key,
+ "base_url": self.baml_llm_endpoint,
+ "api_version": self.baml_llm_api_version,
+ }
+
+ # Note: keep the item only when the value is not None or an empty string (they would override baml default values)
+ options = {k: v for k, v in raw_options.items() if v not in (None, "")}
+ self.baml_registry.add_llm_client(
+ name=self.baml_llm_provider, provider=self.baml_llm_provider, options=options
+ )
+ # Sets the primary client
+ self.baml_registry.set_primary(self.baml_llm_provider)
@model_validator(mode="after")
def ensure_env_vars_for_ollama(self) -> "LLMConfig":
diff --git a/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py b/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
index 8efcce23d..6ef27e51d 100644
--- a/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
+++ b/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
@@ -53,7 +53,8 @@ async def acreate_structured_output(
# Transform BAML response to proper pydantic reponse model
if response_model is str:
- return str(result)
+ # Note: when a response model is set to string in python, result is stored in text property in the BAML response model
+ return str(result.text)
return response_model.model_validate(result.dict())
diff --git a/cognee/modules/ingestion/data_types/TextData.py b/cognee/modules/ingestion/data_types/TextData.py
index 7c2364a5a..90d5335b5 100644
--- a/cognee/modules/ingestion/data_types/TextData.py
+++ b/cognee/modules/ingestion/data_types/TextData.py
@@ -1,7 +1,6 @@
from typing import BinaryIO
from contextlib import asynccontextmanager
import hashlib
-from cognee.infrastructure.data.utils.extract_keywords import extract_keywords
from .IngestionData import IngestionData
diff --git a/cognee/modules/visualization/cognee_network_visualization.py b/cognee/modules/visualization/cognee_network_visualization.py
index dde2fe98d..bbdbc0019 100644
--- a/cognee/modules/visualization/cognee_network_visualization.py
+++ b/cognee/modules/visualization/cognee_network_visualization.py
@@ -1,6 +1,5 @@
import os
import json
-import networkx
from cognee.shared.logging_utils import get_logger
from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
@@ -9,6 +8,8 @@ logger = get_logger()
async def cognee_network_visualization(graph_data, destination_file_path: str = None):
+ import networkx
+
nodes_data, edges_data = graph_data
G = networkx.DiGraph()
@@ -104,7 +105,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
.nodes circle { stroke: white; stroke-width: 0.5px; filter: drop-shadow(0 0 5px rgba(255,255,255,0.3)); }
.node-label { font-size: 5px; font-weight: bold; fill: white; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
.edge-label { font-size: 3px; fill: rgba(255, 255, 255, 0.7); text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
-
+
.tooltip {
position: absolute;
text-align: left;
@@ -166,7 +167,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
// Create tooltip content for edge
var content = "Edge Information
";
content += "Relationship: " + d.relation + "
";
-
+
// Show all weights
if (d.all_weights && Object.keys(d.all_weights).length > 0) {
content += "Weights:
";
@@ -176,23 +177,23 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
} else if (d.weight !== null && d.weight !== undefined) {
content += "Weight: " + d.weight + "
";
}
-
+
if (d.relationship_type) {
content += "Type: " + d.relationship_type + "
";
}
-
+
// Add other edge properties
if (d.edge_info) {
Object.keys(d.edge_info).forEach(function(key) {
- if (key !== 'weight' && key !== 'weights' && key !== 'relationship_type' &&
- key !== 'source_node_id' && key !== 'target_node_id' &&
- key !== 'relationship_name' && key !== 'updated_at' &&
+ if (key !== 'weight' && key !== 'weights' && key !== 'relationship_type' &&
+ key !== 'source_node_id' && key !== 'target_node_id' &&
+ key !== 'relationship_name' && key !== 'updated_at' &&
!key.startsWith('weight_')) {
content += key + ": " + d.edge_info[key] + "
";
}
});
}
-
+
tooltip.html(content)
.style("left", (d3.event.pageX + 10) + "px")
.style("top", (d3.event.pageY - 10) + "px")
diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py
index 6ecdbc8f1..90fbb9cd4 100644
--- a/cognee/shared/utils.py
+++ b/cognee/shared/utils.py
@@ -4,7 +4,6 @@ import os
import ssl
import requests
from datetime import datetime, timezone
-import matplotlib.pyplot as plt
import http.server
import socketserver
from threading import Thread
@@ -30,37 +29,6 @@ def create_secure_ssl_context() -> ssl.SSLContext:
return ssl.create_default_context()
-def get_entities(tagged_tokens):
- import nltk
-
- 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."""
- import nltk
-
- # 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"""
tracking_id = os.getenv("TRACKING_ID", None)
diff --git a/cognee/tasks/graph/infer_data_ontology.py b/cognee/tasks/graph/infer_data_ontology.py
deleted file mode 100644
index 93b02db9f..000000000
--- a/cognee/tasks/graph/infer_data_ontology.py
+++ /dev/null
@@ -1,309 +0,0 @@
-# PROPOSED TO BE DEPRECATED
-
-"""This module contains the OntologyEngine class which is responsible for adding graph ontology from a JSON or CSV file."""
-
-import csv
-import json
-from cognee.shared.logging_utils import get_logger
-from datetime import datetime, timezone
-from fastapi import status
-from typing import Any, Dict, List, Optional, Union, Type
-
-import aiofiles
-import pandas as pd
-from pydantic import BaseModel
-
-from cognee.modules.graph.exceptions import EntityNotFoundError
-from cognee.modules.ingestion.exceptions import IngestionError
-
-from cognee.infrastructure.data.chunking.config import get_chunk_config
-from cognee.infrastructure.data.chunking.get_chunking_engine import get_chunk_engine
-from cognee.infrastructure.databases.graph.get_graph_engine import get_graph_engine
-from cognee.infrastructure.files.utils.extract_text_from_file import extract_text_from_file
-from cognee.infrastructure.files.utils.guess_file_type import guess_file_type, FileTypeException
-from cognee.modules.data.methods.add_model_class_to_graph import (
- add_model_class_to_graph,
-)
-from cognee.tasks.graph.models import NodeModel, GraphOntology
-from cognee.shared.data_models import KnowledgeGraph
-from cognee.modules.engine.utils import generate_node_id, generate_node_name
-from cognee.infrastructure.llm.LLMGateway import LLMGateway
-
-logger = get_logger("task:infer_data_ontology")
-
-
-async def extract_ontology(content: str, response_model: Type[BaseModel]):
- """
- Extracts structured ontology from the provided content using a pre-defined LLM client.
-
- This asynchronous function retrieves a system prompt from a file and utilizes an LLM
- client to create a structured output based on the input content and specified response
- model.
-
- Parameters:
- -----------
-
- - content (str): The content from which to extract the ontology.
- - response_model (Type[BaseModel]): The model that defines the structure of the
- output ontology.
-
- Returns:
- --------
-
- The structured ontology extracted from the content.
- """
-
- system_prompt = LLMGateway.read_query_prompt("extract_ontology.txt")
-
- ontology = await LLMGateway.acreate_structured_output(content, system_prompt, response_model)
-
- return ontology
-
-
-class OntologyEngine:
- """
- Manage ontology data and operations for graph structures, providing methods for data
- loading, flattening models, and adding ontological relationships to a graph database.
-
- Public methods:
-
- - flatten_model
- - recursive_flatten
- - load_data
- - add_graph_ontology
- """
-
- async def flatten_model(
- self, model: NodeModel, parent_id: Optional[str] = None
- ) -> Dict[str, Any]:
- """
- Flatten the model to a dictionary including optional parent ID and relationship details
- if available.
-
- Parameters:
- -----------
-
- - model (NodeModel): The NodeModel instance to flatten.
- - parent_id (Optional[str]): An optional ID of the parent node for hierarchical
- purposes. (default None)
-
- Returns:
- --------
-
- - Dict[str, Any]: A dictionary representation of the model with flattened
- attributes.
- """
- result = model.dict()
- result["parent_id"] = parent_id
- if model.default_relationship:
- result.update(
- {
- "relationship_type": model.default_relationship.type,
- "relationship_source": model.default_relationship.source,
- "relationship_target": model.default_relationship.target,
- }
- )
- return result
-
- async def recursive_flatten(
- self, items: Union[List[Dict[str, Any]], Dict[str, Any]], parent_id: Optional[str] = None
- ) -> List[Dict[str, Any]]:
- """
- Recursively flatten a hierarchical structure of models into a flat list of dictionaries.
-
- Parameters:
- -----------
-
- - items (Union[List[Dict[str, Any]], Dict[str, Any]]): A list or dictionary
- containing models to flatten.
- - parent_id (Optional[str]): An optional ID of the parent node to maintain hierarchy
- during flattening. (default None)
-
- Returns:
- --------
-
- - List[Dict[str, Any]]: A flat list of dictionaries representing the hierarchical
- model structure.
- """
- flat_list = []
-
- if isinstance(items, list):
- for item in items:
- flat_list.extend(await self.recursive_flatten(item, parent_id))
- elif isinstance(items, dict):
- model = NodeModel.model_validate(items)
- flat_list.append(await self.flatten_model(model, parent_id))
- for child in model.children:
- flat_list.extend(await self.recursive_flatten(child, model.node_id))
- return flat_list
-
- async def load_data(self, file_path: str) -> Union[List[Dict[str, Any]], Dict[str, Any]]:
- """
- Load data from a specified JSON or CSV file and return it in a structured format.
-
- Parameters:
- -----------
-
- - file_path (str): The path to the file to load data from.
-
- Returns:
- --------
-
- - Union[List[Dict[str, Any]], Dict[str, Any]]: Parsed data from the file as either a
- list of dictionaries or a single dictionary depending on content type.
- """
- try:
- if file_path.endswith(".json"):
- async with aiofiles.open(file_path, mode="r") as f:
- data = await f.read()
- return json.loads(data)
- elif file_path.endswith(".csv"):
- async with aiofiles.open(file_path, mode="r") as f:
- content = await f.read()
- reader = csv.DictReader(content.splitlines())
- return list(reader)
- else:
- raise IngestionError(message="Unsupported file format")
- except Exception as e:
- raise IngestionError(
- message=f"Failed to load data from {file_path}: {e}",
- status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
- )
-
- async def add_graph_ontology(self, file_path: str = None, documents: list = None):
- """
- Add graph ontology from a JSON or CSV file, or infer relationships from provided
- document content. Raise exceptions for invalid file types or missing entities.
-
- Parameters:
- -----------
-
- - file_path (str): Optional path to a file containing data to be loaded. (default
- None)
- - documents (list): Optional list of document objects for content extraction if no
- file path is provided. (default None)
- """
- if file_path is None:
- initial_chunks_and_ids = []
-
- chunk_config = get_chunk_config()
- chunk_engine = get_chunk_engine()
- chunk_strategy = chunk_config.chunk_strategy
-
- for base_file in documents:
- with open(base_file.raw_data_location, "rb") as file:
- try:
- file_type = guess_file_type(file)
- text = extract_text_from_file(file, file_type)
-
- subchunks, chunks_with_ids = chunk_engine.chunk_data(
- chunk_strategy,
- text,
- chunk_config.chunk_size,
- chunk_config.chunk_overlap,
- )
-
- if chunks_with_ids[0][0] == 1:
- initial_chunks_and_ids.append({base_file.id: chunks_with_ids})
-
- except FileTypeException:
- logger.warning(
- "File (%s) has an unknown file type. We are skipping it.", file["id"]
- )
-
- ontology = await extract_ontology(str(initial_chunks_and_ids), GraphOntology)
- graph_client = await get_graph_engine()
-
- await graph_client.add_nodes(
- [
- (
- node.id,
- dict(
- uuid=generate_node_id(node.id),
- name=generate_node_name(node.name),
- type=generate_node_id(node.id),
- description=node.description,
- updated_at=datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S"),
- ),
- )
- for node in ontology.nodes
- ]
- )
-
- await graph_client.add_edges(
- (
- generate_node_id(edge.source_id),
- generate_node_id(edge.target_id),
- edge.relationship_type,
- dict(
- source_node_id=generate_node_id(edge.source_id),
- target_node_id=generate_node_id(edge.target_id),
- relationship_name=edge.relationship_type,
- updated_at=datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S"),
- ),
- )
- for edge in ontology.edges
- )
-
- else:
- dataset_level_information = documents[0][1]
-
- # Extract the list of valid IDs from the explanations
- valid_ids = {item["id"] for item in dataset_level_information}
- try:
- data = await self.load_data(file_path)
- flt_ontology = await self.recursive_flatten(data)
- df = pd.DataFrame(flt_ontology)
- graph_client = await get_graph_engine()
-
- for _, row in df.iterrows():
- node_data = row.to_dict()
- node_id = node_data.pop("node_id", None)
- if node_id in valid_ids:
- await graph_client.add_node(node_id, node_data)
- if node_id not in valid_ids:
- raise EntityNotFoundError(
- message=f"Node ID {node_id} not found in the dataset"
- )
- if pd.notna(row.get("relationship_source")) and pd.notna(
- row.get("relationship_target")
- ):
- await graph_client.add_edge(
- row["relationship_source"],
- row["relationship_target"],
- relationship_name=row["relationship_type"],
- edge_properties={
- "source_node_id": row["relationship_source"],
- "target_node_id": row["relationship_target"],
- "relationship_name": row["relationship_type"],
- "updated_at": datetime.now(timezone.utc).strftime(
- "%Y-%m-%d %H:%M:%S"
- ),
- },
- )
-
- return
- except Exception as e:
- raise RuntimeError(f"Failed to add graph ontology from {file_path}: {e}") from e
-
-
-async def infer_data_ontology(documents, ontology_model=KnowledgeGraph, root_node_id=None):
- """
- Infer data ontology from provided documents and optionally add it to a graph.
-
- Parameters:
- -----------
-
- - documents: The documents from which to infer the ontology.
- - ontology_model: The ontology model to use for the inference, defaults to
- KnowledgeGraph. (default KnowledgeGraph)
- - root_node_id: An optional root node identifier for the ontology. (default None)
- """
- if ontology_model == KnowledgeGraph:
- ontology_engine = OntologyEngine()
- root_node_id = await ontology_engine.add_graph_ontology(documents=documents)
- else:
- graph_engine = await get_graph_engine()
- await add_model_class_to_graph(ontology_model, graph_engine)
-
- yield (documents, root_node_id)
diff --git a/poetry.lock b/poetry.lock
index 346c1929e..6a11d967c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -4,9 +4,10 @@
name = "aiobotocore"
version = "2.24.2"
description = "Async client for aws services using botocore and aiohttp"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"aws\""
files = [
{file = "aiobotocore-2.24.2-py3-none-any.whl", hash = "sha256:808c63b2bd344b91e2f2acb874831118a9f53342d248acd16a68455a226e283a"},
{file = "aiobotocore-2.24.2.tar.gz", hash = "sha256:dfb21bdb2610e8de4d22f401e91a24d50f1330a302d03c62c485757becd439a9"},
@@ -164,9 +165,10 @@ speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>
name = "aioitertools"
version = "0.12.0"
description = "itertools and builtins for AsyncIO and mixed iterables"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"aws\""
files = [
{file = "aioitertools-0.12.0-py3-none-any.whl", hash = "sha256:fc1f5fac3d737354de8831cbba3eb04f79dd649d8f3afb4c5b114925e662a796"},
{file = "aioitertools-0.12.0.tar.gz", hash = "sha256:c2a9055b4fbb7705f561b9d86053e8af5d10cc845d22c32008c43490b2d8dd6b"},
@@ -576,9 +578,10 @@ dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)"
name = "backoff"
version = "2.2.1"
description = "Function decoration for backoff and retry"
-optional = false
+optional = true
python-versions = ">=3.7,<4.0"
groups = ["main"]
+markers = "extra == \"deepeval\" or extra == \"posthog\" or extra == \"chromadb\" or extra == \"docs\" or extra == \"monitoring\""
files = [
{file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
{file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -609,9 +612,10 @@ extras = ["regex"]
name = "baml-py"
version = "0.206.0"
description = "BAML python bindings (pyproject.toml)"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"baml\""
files = [
{file = "baml_py-0.206.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:d9e95f0b481a18ae6936d720b8fc609baec4ea1eabbdde48f1536ffc94ebf39f"},
{file = "baml_py-0.206.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0f698127da030b728c7aa2641c3164a3ab19779594019234361dd48f0784f195"},
@@ -759,9 +763,10 @@ css = ["tinycss2 (>=1.1.0,<1.5)"]
name = "boto3"
version = "1.40.18"
description = "The AWS SDK for Python"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "boto3-1.40.18-py3-none-any.whl", hash = "sha256:daa776ba1251a7458c9d6c7627873d0c2460c8e8272d35759065580e9193700a"},
{file = "boto3-1.40.18.tar.gz", hash = "sha256:64301d39adecc154e3e595eaf0d4f28998ef0a5551f1d033aeac51a9e1a688e5"},
@@ -779,9 +784,10 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
name = "botocore"
version = "1.40.18"
description = "Low-level, data-driven core of boto 3."
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "botocore-1.40.18-py3-none-any.whl", hash = "sha256:57025c46ca00cf8cec25de07a759521bfbfb3036a0f69b272654a354615dc45f"},
{file = "botocore-1.40.18.tar.gz", hash = "sha256:afd69bdadd8c55cc89d69de0799829e555193a352d87867f746e19020271cc0f"},
@@ -1151,7 +1157,7 @@ description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
groups = ["main"]
-markers = "(platform_system == \"Windows\" or sys_platform == \"win32\" or os_name == \"nt\" or extra == \"llama-index\" or extra == \"dev\") and (platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or extra == \"chromadb\") and (platform_system == \"Windows\" or python_version <= \"3.12\" or extra == \"notebook\" or extra == \"dev\" or extra == \"llama-index\" or extra == \"deepeval\" or extra == \"chromadb\") and (platform_system == \"Windows\" or extra == \"notebook\" or extra == \"dev\" or extra == \"llama-index\" or extra == \"deepeval\" or extra == \"chromadb\" or extra == \"codegraph\")"
+markers = "(platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or os_name == \"nt\") and (platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or extra == \"chromadb\")"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -1195,10 +1201,10 @@ test = ["pytest"]
name = "contourpy"
version = "1.3.2"
description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version == \"3.10\" and extra == \"evals\""
files = [
{file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
{file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
@@ -1273,10 +1279,10 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
name = "contourpy"
version = "1.3.3"
description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
+optional = true
python-versions = ">=3.11"
groups = ["main"]
-markers = "python_version >= \"3.11\""
+markers = "python_version >= \"3.11\" and extra == \"evals\""
files = [
{file = "contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1"},
{file = "contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381"},
@@ -1577,9 +1583,10 @@ files = [
name = "cycler"
version = "0.12.1"
description = "Composable style cycles"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
{file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -1873,9 +1880,10 @@ files = [
name = "dlt"
version = "1.16.0"
description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
-optional = false
+optional = true
python-versions = "<3.15,>=3.9.2"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "dlt-1.16.0-py3-none-any.whl", hash = "sha256:882ef281bbdc32eaba3b5ced984a8ed7014d8978fd7ab4a58b198023c8938c9f"},
{file = "dlt-1.16.0.tar.gz", hash = "sha256:113d17a3f27aa4f41c3438b0b032a68d30db195d8415a471ba43a9502e971a21"},
@@ -2180,10 +2188,9 @@ sqlalchemy = {version = ">=2.0.0,<2.1.0", extras = ["asyncio"]}
name = "fastembed"
version = "0.6.0"
description = "Fast, light, accurate library built for retrieval embedding generation"
-optional = true
+optional = false
python-versions = ">=3.9.0"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
{file = "fastembed-0.6.0-py3-none-any.whl", hash = "sha256:a08385e9388adea0529a586004f2d588c9787880a510e4e5d167127a11e75328"},
{file = "fastembed-0.6.0.tar.gz", hash = "sha256:5c9ead25f23449535b07243bbe1f370b820dcc77ec2931e61674e3fe7ff24733"},
@@ -2196,8 +2203,12 @@ mmh3 = ">=4.1.0,<6.0.0"
numpy = [
{version = ">=1.21", markers = "python_version >= \"3.10\" and python_version < \"3.12\""},
{version = ">=1.26", markers = "python_version == \"3.12\""},
+ {version = ">=2.1.0", markers = "python_version >= \"3.13\""},
+]
+onnxruntime = [
+ {version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""},
+ {version = ">1.20.0", markers = "python_version >= \"3.13\""},
]
-onnxruntime = {version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""}
pillow = ">=10.3.0,<12.0.0"
py-rust-stemmers = ">=0.1.0,<0.2.0"
requests = ">=2.31,<3.0"
@@ -2294,9 +2305,10 @@ files = [
name = "fonttools"
version = "4.60.0"
description = "Tools to manipulate font files"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "fonttools-4.60.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:151282a235c36024168c21c02193e939e8b28c73d5fa0b36ae1072671d8fa134"},
{file = "fonttools-4.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3f32cc42d485d9b1546463b9a7a92bdbde8aef90bac3602503e04c2ddb27e164"},
@@ -2583,9 +2595,10 @@ dev = ["flake8", "markdown", "twine", "wheel"]
name = "gitdb"
version = "4.0.12"
description = "Git Object Database"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
{file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
@@ -2598,9 +2611,10 @@ smmap = ">=3.0.1,<6"
name = "gitpython"
version = "3.1.45"
description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "gitpython-3.1.45-py3-none-any.whl", hash = "sha256:8908cb2e02fb3b93b7eb0f2827125cb699869470432cc885f019b8fd0fccff77"},
{file = "gitpython-3.1.45.tar.gz", hash = "sha256:85b0ee964ceddf211c41b9f27a49086010a190fd8132a24e21f362a4b36a791c"},
@@ -2617,9 +2631,10 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.
name = "giturlparse"
version = "0.12.0"
description = "A Git URL parsing module (supports parsing and rewriting)"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "giturlparse-0.12.0-py2.py3-none-any.whl", hash = "sha256:412b74f2855f1da2fefa89fd8dde62df48476077a72fc19b62039554d27360eb"},
{file = "giturlparse-0.12.0.tar.gz", hash = "sha256:c0fff7c21acc435491b1779566e038757a205c1ffdcb47e4f81ea52ad8c3859a"},
@@ -3112,9 +3127,10 @@ hyperframe = ">=6.1,<7"
name = "hexbytes"
version = "1.3.1"
description = "hexbytes: Python `bytes` subclass that decodes hex, with a readable console output"
-optional = false
+optional = true
python-versions = "<4,>=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "hexbytes-1.3.1-py3-none-any.whl", hash = "sha256:da01ff24a1a9a2b1881c4b85f0e9f9b0f51b526b379ffa23832ae7899d29c2c7"},
{file = "hexbytes-1.3.1.tar.gz", hash = "sha256:a657eebebdfe27254336f98d8af6e2236f3f83aed164b87466b6cf6c5f5a4765"},
@@ -3373,9 +3389,10 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
name = "humanize"
version = "4.13.0"
description = "Python humanize utilities"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "humanize-4.13.0-py3-none-any.whl", hash = "sha256:b810820b31891813b1673e8fec7f1ed3312061eab2f26e3fa192c393d11ed25f"},
{file = "humanize-4.13.0.tar.gz", hash = "sha256:78f79e68f76f0b04d711c4e55d32bebef5be387148862cb1ef83d2b58e7935a0"},
@@ -3837,9 +3854,10 @@ files = [
name = "jmespath"
version = "1.0.1"
description = "JSON Matching Expressions"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
{file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -3905,9 +3923,10 @@ jsonpointer = ">=1.9"
name = "jsonpath-ng"
version = "1.7.0"
description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
]
@@ -4215,9 +4234,10 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
name = "kiwisolver"
version = "1.4.9"
description = "A fast implementation of the Cassowary constraint solver"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"},
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@@ -4558,9 +4578,10 @@ six = "*"
name = "langfuse"
version = "2.60.10"
description = "A client library for accessing langfuse"
-optional = false
+optional = true
python-versions = "<4.0,>=3.9"
groups = ["main"]
+markers = "extra == \"monitoring\""
files = [
{file = "langfuse-2.60.10-py3-none-any.whl", hash = "sha256:815c6369194aa5b2a24f88eb9952f7c3fc863272c41e90642a71f3bc76f4a11f"},
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@@ -4779,10 +4800,9 @@ server = ["starlette (>=0.39.0)", "uvicorn (>=0.32.0)"]
name = "loguru"
version = "0.7.3"
description = "Python logging made (stupidly) simple"
-optional = true
+optional = false
python-versions = "<4.0,>=3.5"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
{file = "loguru-0.7.3-py3-none-any.whl", hash = "sha256:31a33c10c8e1e10422bfd431aeb5d351c7cf7fa671e3c4df004162264b28220c"},
{file = "loguru-0.7.3.tar.gz", hash = "sha256:19480589e77d47b8d85b2c827ad95d49bf31b0dcde16593892eb51dd18706eb6"},
@@ -5133,9 +5153,10 @@ tests = ["pytest", "simplejson"]
name = "matplotlib"
version = "3.10.6"
description = "Python plotting package"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "matplotlib-3.10.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bc7316c306d97463a9866b89d5cc217824e799fa0de346c8f68f4f3d27c8693d"},
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@@ -5494,10 +5515,9 @@ mkdocstrings = ">=0.26"
name = "mmh3"
version = "5.2.0"
description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
-optional = true
+optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "(extra == \"codegraph\" or extra == \"chromadb\") and (python_version <= \"3.12\" or extra == \"chromadb\")"
files = [
{file = "mmh3-5.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:81c504ad11c588c8629536b032940f2a359dda3b6cbfd4ad8f74cb24dcd1b0bc"},
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@@ -6095,9 +6115,10 @@ test-extras = ["pytest-mpl", "pytest-randomly"]
name = "nltk"
version = "3.9.1"
description = "Natural Language Toolkit"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"llama-index\" or extra == \"docs\""
files = [
{file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
{file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
@@ -6648,10 +6669,10 @@ test = ["pytest (>=8.3.0,<8.4.0)", "pytest-benchmark (>=5.1.0,<5.2.0)", "pytest-
name = "orjson"
version = "3.11.3"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
-markers = "(sys_platform != \"emscripten\" or platform_python_implementation != \"PyPy\" or extra == \"chromadb\") and (sys_platform != \"emscripten\" or extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\")"
+markers = "(sys_platform != \"emscripten\" or platform_python_implementation != \"PyPy\" or extra == \"chromadb\") and (sys_platform != \"emscripten\" or extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\") and (platform_python_implementation != \"PyPy\" or extra == \"chromadb\" or extra == \"dlt\") and (extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\" or extra == \"dlt\")"
files = [
{file = "orjson-3.11.3-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:29cb1f1b008d936803e2da3d7cba726fc47232c45df531b29edf0b232dd737e7"},
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@@ -6783,9 +6804,10 @@ lint = ["black"]
name = "pandas"
version = "2.3.2"
description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"docs\" or extra == \"evals\""
files = [
{file = "pandas-2.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52bc29a946304c360561974c6542d1dd628ddafa69134a7131fdfd6a5d7a1a35"},
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@@ -6913,9 +6935,10 @@ files = [
name = "pathvalidate"
version = "3.3.1"
description = "pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc."
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "pathvalidate-3.3.1-py3-none-any.whl", hash = "sha256:5263baab691f8e1af96092fa5137ee17df5bdfbd6cff1fcac4d6ef4bc2e1735f"},
{file = "pathvalidate-3.3.1.tar.gz", hash = "sha256:b18c07212bfead624345bb8e1d6141cdcf15a39736994ea0b94035ad2b1ba177"},
@@ -6930,9 +6953,10 @@ test = ["Faker (>=1.0.8)", "allpairspy (>=2)", "click (>=6.2)", "pytest (>=6.0.1
name = "pendulum"
version = "3.1.0"
description = "Python datetimes made easy"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "pendulum-3.1.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:aa545a59e6517cf43597455a6fb44daa4a6e08473d67a7ad34e4fa951efb9620"},
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@@ -7210,9 +7234,10 @@ kaleido = ["kaleido (>=1.0.0)"]
name = "pluggy"
version = "1.6.0"
description = "plugin and hook calling mechanisms for python"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"deepeval\" or extra == \"dev\" or extra == \"dlt\""
files = [
{file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
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@@ -7226,9 +7251,10 @@ testing = ["coverage", "pytest", "pytest-benchmark"]
name = "ply"
version = "3.11"
description = "Python Lex & Yacc"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
{file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"},
@@ -7672,10 +7698,9 @@ bcrypt = ["bcrypt (>=4.1.2,<5)"]
name = "py-rust-stemmers"
version = "0.1.5"
description = "Fast and parallel snowball stemmer"
-optional = true
+optional = false
python-versions = "*"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
{file = "py_rust_stemmers-0.1.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bfbd9034ae00419ff2154e33b8f5b4c4d99d1f9271f31ed059e5c7e9fa005844"},
{file = "py_rust_stemmers-0.1.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7162ae66df2bb0fc39b350c24a049f5f5151c03c046092ba095c2141ec223a2"},
@@ -8273,66 +8298,6 @@ files = [
[package.extras]
dev = ["build", "flake8", "mypy", "pytest", "twine"]
-[[package]]
-name = "pyside6"
-version = "6.9.2"
-description = "Python bindings for the Qt cross-platform application and UI framework"
-optional = true
-python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "extra == \"gui\""
-files = [
- {file = "pyside6-6.9.2-cp39-abi3-macosx_12_0_universal2.whl", hash = "sha256:71245c76bfbe5c41794ffd8546730ec7cc869d4bbe68535639e026e4ef8a7714"},
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- {file = "pyside6-6.9.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:a78fad16241a1f2ed0fa0098cf3d621f591fc75b4badb7f3fa3959c9d861c806"},
- {file = "pyside6-6.9.2-cp39-abi3-win_amd64.whl", hash = "sha256:d1afbf48f9a5612b9ee2dc7c384c1a65c08b5830ba5e7d01f66d82678e5459df"},
- {file = "pyside6-6.9.2-cp39-abi3-win_arm64.whl", hash = "sha256:1499b1d7629ab92119118e2636b4ace836b25e457ddf01003fdca560560b8c0a"},
-]
-
-[package.dependencies]
-PySide6_Addons = "6.9.2"
-PySide6_Essentials = "6.9.2"
-shiboken6 = "6.9.2"
-
-[[package]]
-name = "pyside6-addons"
-version = "6.9.2"
-description = "Python bindings for the Qt cross-platform application and UI framework (Addons)"
-optional = true
-python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "extra == \"gui\""
-files = [
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-]
-
-[package.dependencies]
-PySide6_Essentials = "6.9.2"
-shiboken6 = "6.9.2"
-
-[[package]]
-name = "pyside6-essentials"
-version = "6.9.2"
-description = "Python bindings for the Qt cross-platform application and UI framework (Essentials)"
-optional = true
-python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "extra == \"gui\""
-files = [
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-]
-
-[package.dependencies]
-shiboken6 = "6.9.2"
-
[[package]]
name = "pysocks"
version = "1.7.1"
@@ -8626,9 +8591,10 @@ XlsxWriter = ">=0.5.7"
name = "pytz"
version = "2025.2"
description = "World timezone definitions, modern and historical"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"neo4j\" or extra == \"graphiti\" or extra == \"docs\" or extra == \"evals\" or extra == \"dlt\""
files = [
{file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
{file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -8641,7 +8607,7 @@ description = "Python for Window Extensions"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "sys_platform == \"win32\" or platform_system == \"Windows\""
+markers = "(sys_platform == \"win32\" or platform_system == \"Windows\") and (platform_python_implementation != \"PyPy\" or platform_system == \"Windows\" or extra == \"dlt\")"
files = [
{file = "pywin32-311-cp310-cp310-win32.whl", hash = "sha256:d03ff496d2a0cd4a5893504789d4a15399133fe82517455e78bad62efbb7f0a3"},
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@@ -8868,19 +8834,6 @@ files = [
[package.dependencies]
cffi = {version = "*", markers = "implementation_name == \"pypy\""}
-[[package]]
-name = "qasync"
-version = "0.27.1"
-description = "Python library for using asyncio in Qt-based applications"
-optional = true
-python-versions = ">=3.8,<4.0"
-groups = ["main"]
-markers = "extra == \"gui\""
-files = [
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- {file = "qasync-0.27.1.tar.gz", hash = "sha256:8dc768fd1ee5de1044c7c305eccf2d39d24d87803ea71189d4024fb475f4985f"},
-]
-
[[package]]
name = "rapidfuzz"
version = "3.14.1"
@@ -9236,9 +9189,10 @@ requests = ">=2.0.1,<3.0.0"
name = "requirements-parser"
version = "0.13.0"
description = "This is a small Python module for parsing Pip requirement files."
-optional = false
+optional = true
python-versions = "<4.0,>=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "requirements_parser-0.13.0-py3-none-any.whl", hash = "sha256:2b3173faecf19ec5501971b7222d38f04cb45bb9d87d0ad629ca71e2e62ded14"},
{file = "requirements_parser-0.13.0.tar.gz", hash = "sha256:0843119ca2cb2331de4eb31b10d70462e39ace698fd660a915c247d2301a4418"},
@@ -9318,9 +9272,10 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
name = "rich-argparse"
version = "1.7.1"
description = "Rich help formatters for argparse and optparse"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
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@@ -9544,9 +9499,10 @@ files = [
name = "s3fs"
version = "2025.3.2"
description = "Convenient Filesystem interface over S3"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"aws\""
files = [
{file = "s3fs-2025.3.2-py3-none-any.whl", hash = "sha256:81eae3f37b4b04bcc08845d7bcc607c6ca45878813ef7e6a28d77b2688417130"},
{file = "s3fs-2025.3.2.tar.gz", hash = "sha256:6798f896ec76dd3bfd8beb89f0bb7c5263cb2760e038bae0978505cd172a307c"},
@@ -9568,9 +9524,10 @@ boto3 = ["aiobotocore[boto3] (>=2.5.4,<3.0.0)"]
name = "s3transfer"
version = "0.13.1"
description = "An Amazon S3 Transfer Manager"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "s3transfer-0.13.1-py3-none-any.whl", hash = "sha256:a981aa7429be23fe6dfc13e80e4020057cbab622b08c0315288758d67cabc724"},
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@@ -9827,9 +9784,10 @@ test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6
name = "semver"
version = "3.0.4"
description = "Python helper for Semantic Versioning (https://semver.org)"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "semver-3.0.4-py3-none-any.whl", hash = "sha256:9c824d87ba7f7ab4a1890799cec8596f15c1241cb473404ea1cb0c55e4b04746"},
{file = "semver-3.0.4.tar.gz", hash = "sha256:afc7d8c584a5ed0a11033af086e8af226a9c0b206f313e0301f8dd7b6b589602"},
@@ -9857,9 +9815,10 @@ win32 = ["pywin32 ; sys_platform == \"win32\""]
name = "sentry-sdk"
version = "2.38.0"
description = "Python client for Sentry (https://sentry.io)"
-optional = false
+optional = true
python-versions = ">=3.6"
groups = ["main"]
+markers = "extra == \"deepeval\" or extra == \"monitoring\""
files = [
{file = "sentry_sdk-2.38.0-py2.py3-none-any.whl", hash = "sha256:2324aea8573a3fa1576df7fb4d65c4eb8d9929c8fa5939647397a07179eef8d0"},
{file = "sentry_sdk-2.38.0.tar.gz", hash = "sha256:792d2af45e167e2f8a3347143f525b9b6bac6f058fb2014720b40b84ccbeb985"},
@@ -9916,9 +9875,10 @@ unleash = ["UnleashClient (>=6.0.1)"]
name = "setuptools"
version = "80.9.0"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"notebook\" or extra == \"dev\" or extra == \"llama-index\" or extra == \"deepeval\" or extra == \"dlt\""
files = [
{file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
{file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"},
@@ -9945,22 +9905,6 @@ files = [
{file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
]
-[[package]]
-name = "shiboken6"
-version = "6.9.2"
-description = "Python/C++ bindings helper module"
-optional = true
-python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "extra == \"gui\""
-files = [
- {file = "shiboken6-6.9.2-cp39-abi3-macosx_12_0_universal2.whl", hash = "sha256:8bb1c4326330e53adeac98bfd9dcf57f5173a50318a180938dcc4825d9ca38da"},
- {file = "shiboken6-6.9.2-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3b54c0a12ea1b03b9dc5dcfb603c366e957dc75341bf7cb1cc436d0d848308ee"},
- {file = "shiboken6-6.9.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:a5f5985938f5acb604c23536a0ff2efb3cccb77d23da91fbaff8fd8ded3dceb4"},
- {file = "shiboken6-6.9.2-cp39-abi3-win_amd64.whl", hash = "sha256:68c33d565cd4732be762d19ff67dfc53763256bac413d392aa8598b524980bc4"},
- {file = "shiboken6-6.9.2-cp39-abi3-win_arm64.whl", hash = "sha256:c5b827797b3d89d9b9a3753371ff533fcd4afc4531ca51a7c696952132098054"},
-]
-
[[package]]
name = "sigtools"
version = "4.0.1"
@@ -9985,9 +9929,10 @@ tests = ["coverage", "mock", "repeated-test (>=2.2.1)", "sphinx"]
name = "simplejson"
version = "3.20.1"
description = "Simple, fast, extensible JSON encoder/decoder for Python"
-optional = false
+optional = true
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.5"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "simplejson-3.20.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:f5272b5866b259fe6c33c4a8c5073bf8b359c3c97b70c298a2f09a69b52c7c41"},
{file = "simplejson-3.20.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5c0de368f3052a59a1acf21f8b2dd28686a9e4eba2da7efae7ed9554cb31e7bc"},
@@ -10117,9 +10062,10 @@ files = [
name = "smmap"
version = "5.0.2"
description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"},
{file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"},
@@ -10250,9 +10196,10 @@ sqlcipher = ["sqlcipher3_binary"]
name = "sqlglot"
version = "27.16.3"
description = "An easily customizable SQL parser and transpiler"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "sqlglot-27.16.3-py3-none-any.whl", hash = "sha256:3765ef1da6c9a04dd9e9ab4bcf24ca54daae72d86d693954aed84dbbbff2ff3b"},
{file = "sqlglot-27.16.3.tar.gz", hash = "sha256:bf5cc3b7c90c3682365353a318089e69e859939943d7882562ba39be650a6202"},
@@ -10580,9 +10527,10 @@ files = [
name = "tomlkit"
version = "0.13.3"
description = "Style preserving TOML library"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
{file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
@@ -10919,9 +10867,10 @@ typing-extensions = ">=4.12.0"
name = "tzdata"
version = "2025.2"
description = "Provider of IANA time zone data"
-optional = false
+optional = true
python-versions = ">=2"
groups = ["main"]
+markers = "extra == \"docs\" or extra == \"evals\" or extra == \"dlt\""
files = [
{file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
{file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -11501,10 +11450,10 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
name = "win-precise-time"
version = "1.4.2"
description = ""
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
-markers = "os_name == \"nt\" and python_version <= \"3.12\""
+markers = "extra == \"dlt\" and os_name == \"nt\" and python_version <= \"3.12\""
files = [
{file = "win-precise-time-1.4.2.tar.gz", hash = "sha256:89274785cbc5f2997e01675206da3203835a442c60fd97798415c6b3c179c0b9"},
{file = "win_precise_time-1.4.2-cp310-cp310-win32.whl", hash = "sha256:7fa13a2247c2ef41cd5e9b930f40716eacc7fc1f079ea72853bd5613fe087a1a"},
@@ -11525,10 +11474,10 @@ files = [
name = "win32-setctime"
version = "1.2.0"
description = "A small Python utility to set file creation time on Windows"
-optional = true
+optional = false
python-versions = ">=3.5"
groups = ["main"]
-markers = "sys_platform == \"win32\" and extra == \"codegraph\" and python_version <= \"3.12\""
+markers = "sys_platform == \"win32\""
files = [
{file = "win32_setctime-1.2.0-py3-none-any.whl", hash = "sha256:95d644c4e708aba81dc3704a116d8cbc974d70b3bdb8be1d150e36be6e9d1390"},
{file = "win32_setctime-1.2.0.tar.gz", hash = "sha256:ae1fdf948f5640aae05c511ade119313fb6a30d7eabe25fef9764dca5873c4c0"},
@@ -11915,23 +11864,25 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
anthropic = ["anthropic"]
api = []
aws = ["s3fs"]
+baml = ["baml-py"]
chromadb = ["chromadb", "pypika"]
codegraph = ["fastembed", "transformers", "tree-sitter", "tree-sitter-python"]
debug = ["debugpy"]
deepeval = ["deepeval"]
dev = ["coverage", "deptry", "gitpython", "mkdocs-material", "mkdocs-minify-plugin", "mkdocstrings", "mypy", "notebook", "pre-commit", "pylint", "pytest", "pytest-asyncio", "pytest-cov", "ruff", "tweepy"]
distributed = ["modal"]
+dlt = ["dlt"]
docs = ["unstructured"]
-evals = ["gdown", "plotly"]
+evals = ["gdown", "matplotlib", "pandas", "plotly"]
falkordb = ["falkordb"]
gemini = ["google-generativeai"]
graphiti = ["graphiti-core"]
groq = ["groq"]
-gui = ["pyside6", "qasync"]
huggingface = ["transformers"]
langchain = ["langchain_text_splitters", "langsmith"]
llama-index = ["llama-index-core"]
mistral = ["mistral-common"]
+monitoring = ["langfuse", "sentry-sdk"]
neo4j = ["neo4j"]
neptune = ["langchain_aws"]
notebook = ["notebook"]
@@ -11943,4 +11894,4 @@ posthog = ["posthog"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<=3.13"
-content-hash = "3c5f1fbbd1ec57adbc83d1a1d99ed39a4566c518661940fa43c06906c98221de"
+content-hash = "c43bb5150980f3e5867b14f16ffdc13567df6fe516f991e4e31ca0bb456979d8"
diff --git a/pyproject.toml b/pyproject.toml
index fbf2203e7..d5203ac1e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,31 +20,23 @@ classifiers = [
"Operating System :: Microsoft :: Windows",
]
dependencies = [
- "openai>=1.80.1,<2.0.0",
+ "openai>=1.80.1",
"python-dotenv>=1.0.1,<2.0.0",
"pydantic>=2.10.5,<3.0.0",
"pydantic-settings>=2.2.1,<3",
"typing_extensions>=4.12.2,<5.0.0",
- "nltk>=3.9.1,<4.0.0",
"numpy>=1.26.4, <=4.0.0",
- "pandas>=2.2.2,<3.0.0",
- # Note: New s3fs and boto3 versions don't work well together
- # Always use comaptible fixed versions of these two dependencies
- "s3fs[boto3]==2025.3.2",
"sqlalchemy>=2.0.39,<3.0.0",
"aiosqlite>=0.20.0,<1.0.0",
"tiktoken>=0.8.0,<1.0.0",
- "litellm>=1.71.0, <2.0.0",
+ "litellm>=1.76.0",
"instructor>=1.9.1,<2.0.0",
- "langfuse>=2.32.0,<3",
"filetype>=1.2.0,<2.0.0",
"aiohttp>=3.11.14,<4.0.0",
"aiofiles>=23.2.1,<24.0.0",
"rdflib>=7.1.4,<7.2.0",
"pypdf>=4.1.0,<7.0.0",
"jinja2>=3.1.3,<4",
- "matplotlib>=3.8.3,<4",
- "networkx>=3.4.2,<4",
"lancedb>=0.24.0,<1.0.0",
"nbformat>=5.7.0,<6.0.0",
"alembic>=1.13.3,<2",
@@ -53,22 +45,22 @@ dependencies = [
"fastapi>=0.115.7,<1.0.0",
"python-multipart>=0.0.20,<1.0.0",
"fastapi-users[sqlalchemy]>=14.0.1,<15.0.0",
- "dlt[sqlalchemy]>=1.9.0,<2",
- "sentry-sdk[fastapi]>=2.9.0,<3",
"structlog>=25.2.0,<26",
- "baml-py (==0.206.0)",
"pympler>=1.1,<2.0.0",
"onnxruntime>=1.0.0,<2.0.0",
- "pylance>=0.22.0,<1.0.0",
"kuzu (==0.11.0)",
"python-magic-bin<0.5 ; platform_system == 'Windows'", # Only needed for Windows
+ "fastembed<=0.6.0 ",
+ "networkx>=3.4.2,<4",
"uvicorn>=0.34.0,<1.0.0",
"gunicorn>=20.1.0,<24",
"websockets>=15.0.1,<16.0.0"
+
]
[project.optional-dependencies]
api=[]
+
distributed = [
"modal>=1.0.5,<2.0.0",
]
@@ -114,15 +106,16 @@ codegraph = [
evals = [
"plotly>=6.0.0,<7",
"gdown>=5.2.0,<6",
+ "pandas>=2.2.2,<3.0.0",
+ "matplotlib>=3.8.3,<4",
]
-gui = [
- "pyside6>=6.8.3,<7",
- "qasync>=0.27.1,<0.28",
-]
+
graphiti = ["graphiti-core>=0.7.0,<0.8"]
# Note: New s3fs and boto3 versions don't work well together
# Always use comaptible fixed versions of these two dependencies
aws = ["s3fs[boto3]==2025.3.2"]
+dlt = ["dlt[sqlalchemy]>=1.9.0,<2"]
+baml = ["baml-py (==0.206.0)"]
dev = [
"pytest>=7.4.0,<8",
"pytest-cov>=6.1.1,<7.0.0",
@@ -142,6 +135,8 @@ dev = [
]
debug = ["debugpy>=1.8.9,<2.0.0"]
+monitoring = ["sentry-sdk[fastapi]>=2.9.0,<3", "langfuse>=2.32.0,<3"]
+
[project.urls]
Homepage = "https://www.cognee.ai"
Repository = "https://github.com/topoteretes/cognee"
diff --git a/uv.lock b/uv.lock
index af2cee0b6..02993b4a9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -822,41 +822,33 @@ dependencies = [
{ name = "aiohttp" },
{ name = "aiosqlite" },
{ name = "alembic" },
- { name = "baml-py" },
- { name = "dlt", extra = ["sqlalchemy"] },
{ name = "fastapi" },
{ name = "fastapi-users", extra = ["sqlalchemy"] },
+ { name = "fastembed" },
{ name = "filetype" },
{ name = "gunicorn" },
{ name = "instructor" },
{ name = "jinja2" },
{ name = "kuzu" },
{ name = "lancedb" },
- { name = "langfuse" },
{ name = "limits" },
{ name = "litellm" },
- { name = "matplotlib" },
{ name = "nbformat" },
{ name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
{ name = "networkx", version = "3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
- { name = "nltk" },
{ name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
{ name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
{ name = "onnxruntime" },
{ name = "openai" },
- { name = "pandas" },
{ name = "pydantic" },
{ name = "pydantic-settings" },
- { name = "pylance" },
{ name = "pympler" },
{ name = "pypdf" },
{ name = "python-dotenv" },
{ name = "python-magic-bin", marker = "sys_platform == 'win32'" },
{ name = "python-multipart" },
{ name = "rdflib" },
- { name = "s3fs", extra = ["boto3"] },
{ name = "scikit-learn" },
- { name = "sentry-sdk", extra = ["fastapi"] },
{ name = "sqlalchemy" },
{ name = "structlog" },
{ name = "tiktoken" },
@@ -872,6 +864,9 @@ anthropic = [
aws = [
{ name = "s3fs", extra = ["boto3"] },
]
+baml = [
+ { name = "baml-py" },
+]
chromadb = [
{ name = "chromadb" },
{ name = "pypika" },
@@ -908,11 +903,16 @@ dev = [
distributed = [
{ name = "modal" },
]
+dlt = [
+ { name = "dlt", extra = ["sqlalchemy"] },
+]
docs = [
{ name = "unstructured", extra = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"] },
]
evals = [
{ name = "gdown" },
+ { name = "matplotlib" },
+ { name = "pandas" },
{ name = "plotly" },
]
falkordb = [
@@ -927,10 +927,6 @@ graphiti = [
groq = [
{ name = "groq" },
]
-gui = [
- { name = "pyside6" },
- { name = "qasync" },
-]
huggingface = [
{ name = "transformers" },
]
@@ -944,6 +940,10 @@ llama-index = [
mistral = [
{ name = "mistral-common" },
]
+monitoring = [
+ { name = "langfuse" },
+ { name = "sentry-sdk", extra = ["fastapi"] },
+]
neo4j = [
{ name = "neo4j" },
]
@@ -979,16 +979,17 @@ requires-dist = [
{ name = "anthropic", marker = "extra == 'anthropic'", specifier = ">=0.27" },
{ name = "asyncpg", marker = "extra == 'postgres'", specifier = ">=0.30.0,<1.0.0" },
{ name = "asyncpg", marker = "extra == 'postgres-binary'", specifier = ">=0.30.0,<1.0.0" },
- { name = "baml-py", specifier = "==0.206.0" },
+ { name = "baml-py", marker = "extra == 'baml'", specifier = "==0.206.0" },
{ name = "chromadb", marker = "extra == 'chromadb'", specifier = ">=0.6,<0.7" },
{ name = "coverage", marker = "extra == 'dev'", specifier = ">=7.3.2,<8" },
{ name = "debugpy", marker = "extra == 'debug'", specifier = ">=1.8.9,<2.0.0" },
{ name = "deepeval", marker = "extra == 'deepeval'", specifier = ">=3.0.1,<4" },
{ name = "deptry", marker = "extra == 'dev'", specifier = ">=0.20.0,<0.21" },
- { name = "dlt", extras = ["sqlalchemy"], specifier = ">=1.9.0,<2" },
+ { name = "dlt", extras = ["sqlalchemy"], marker = "extra == 'dlt'", specifier = ">=1.9.0,<2" },
{ name = "falkordb", marker = "extra == 'falkordb'", specifier = ">=1.0.9,<2.0.0" },
{ name = "fastapi", specifier = ">=0.115.7,<1.0.0" },
{ name = "fastapi-users", extras = ["sqlalchemy"], specifier = ">=14.0.1,<15.0.0" },
+ { name = "fastembed", specifier = "<=0.6.0" },
{ name = "fastembed", marker = "python_full_version < '3.13' and extra == 'codegraph'", specifier = "<=0.6.0" },
{ name = "filetype", specifier = ">=1.2.0,<2.0.0" },
{ name = "gdown", marker = "extra == 'evals'", specifier = ">=5.2.0,<6" },
@@ -1003,12 +1004,12 @@ requires-dist = [
{ name = "lancedb", specifier = ">=0.24.0,<1.0.0" },
{ name = "langchain-aws", marker = "extra == 'neptune'", specifier = ">=0.2.22" },
{ name = "langchain-text-splitters", marker = "extra == 'langchain'", specifier = ">=0.3.2,<1.0.0" },
- { name = "langfuse", specifier = ">=2.32.0,<3" },
+ { name = "langfuse", marker = "extra == 'monitoring'", specifier = ">=2.32.0,<3" },
{ name = "langsmith", marker = "extra == 'langchain'", specifier = ">=0.2.3,<1.0.0" },
{ name = "limits", specifier = ">=4.4.1,<5" },
- { name = "litellm", specifier = ">=1.71.0,<2.0.0" },
+ { name = "litellm", specifier = ">=1.76.0" },
{ name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.11,<0.13" },
- { name = "matplotlib", specifier = ">=3.8.3,<4" },
+ { name = "matplotlib", marker = "extra == 'evals'", specifier = ">=3.8.3,<4" },
{ name = "mistral-common", marker = "extra == 'mistral'", specifier = ">=1.5.2,<2" },
{ name = "mkdocs-material", marker = "extra == 'dev'", specifier = ">=9.5.42,<10" },
{ name = "mkdocs-minify-plugin", marker = "extra == 'dev'", specifier = ">=0.8.0,<0.9" },
@@ -1018,13 +1019,12 @@ requires-dist = [
{ name = "nbformat", specifier = ">=5.7.0,<6.0.0" },
{ name = "neo4j", marker = "extra == 'neo4j'", specifier = ">=5.28.0,<6" },
{ name = "networkx", specifier = ">=3.4.2,<4" },
- { name = "nltk", specifier = ">=3.9.1,<4.0.0" },
{ name = "notebook", marker = "extra == 'dev'", specifier = ">=7.1.0,<8" },
{ name = "notebook", marker = "extra == 'notebook'", specifier = ">=7.1.0,<8" },
{ name = "numpy", specifier = ">=1.26.4,<=4.0.0" },
{ name = "onnxruntime", specifier = ">=1.0.0,<2.0.0" },
- { name = "openai", specifier = ">=1.80.1,<2.0.0" },
- { name = "pandas", specifier = ">=2.2.2,<3.0.0" },
+ { name = "openai", specifier = ">=1.80.1" },
+ { name = "pandas", marker = "extra == 'evals'", specifier = ">=2.2.2,<3.0.0" },
{ name = "pgvector", marker = "extra == 'postgres'", specifier = ">=0.3.5,<0.4" },
{ name = "pgvector", marker = "extra == 'postgres-binary'", specifier = ">=0.3.5,<0.4" },
{ name = "plotly", marker = "extra == 'evals'", specifier = ">=6.0.0,<7" },
@@ -1034,25 +1034,21 @@ requires-dist = [
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