Core data retrieval and organisation library — SQLite DB, topic graph, corpus management, and LLM integration
Project description
eyecore
Core data retrieval and organisation library — SQLite DB management, topic graph, corpus management, and LLM integration.
Features
- BaseDB — lazy SQLite connection with transparent
.db.gzdecompression to user cache - TopicGraph — generalized topic registry with parent/child relationships, BFS traversal, and typed links
- CorpusManager — on-demand corpus checkout (Project Gutenberg, URL, git) with FTS5 indexing
- LLMClient — lazy-loaded LLM wrapper with auto-detected backends (Ollama, llama-cpp, OpenAI-compatible)
- compress_db / decompress_to_cache — platform-aware compression utilities for bake scripts
Installation
pip install eyecore
With optional extras:
pip install "eyecore[llm-ollama]" # Ollama backend
pip install "eyecore[llm-cpp]" # llama-cpp-python backend
pip install "eyecore[llm-openai]" # OpenAI-compatible backend
pip install "eyecore[corpus]" # corpus download support
Quick start
from pathlib import Path
from eyecore import BaseDB, TopicGraph, CorpusManager, LLMClient
# Lazy SQLite — decompresses .db.gz to user cache on first access
db = BaseDB("myapp", gz_path=Path("data/myapp.db.gz"))
rows = db.fetchall("SELECT * FROM entities LIMIT 10")
# Topic graph
graph = TopicGraph(db.conn)
related = graph.get_related("topic-id")
tree = graph.subtree("root-id")
# LLM — auto-detects Ollama / llama-cpp / OpenAI
llm = LLMClient.get()
if llm.is_available():
summary = llm.summarize("Some long text to summarize...")
topics = llm.extract_topics("Article text about AI and machine learning...")
report = llm.generate_report(articles, "Technology", "title", "summary")
LLM configuration
Configure via environment variables:
| Variable | Default | Description |
|---|---|---|
LLM_BACKEND |
auto | ollama, llama-cpp, or openai |
LLM_MODEL |
llama3 |
Model name (Ollama) or model ID (OpenAI) |
LLM_HOST |
http://localhost:11434 |
Ollama server URL |
LLM_MODEL_PATH |
— | Path to GGUF model file (llama-cpp) |
OPENAI_API_KEY |
— | API key for OpenAI-compatible endpoints |
OPENAI_BASE_URL |
— | Base URL for OpenAI-compatible endpoints |
License
MIT — see LICENSE
Project details
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