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import hashlib
import os
from typing import List
import psycopg
from langchain_core.documents.base import Document
from loguru import logger as log
TABLES = """
CREATE TABLE IF NOT EXISTS document (
hash text PRIMARY KEY)
"""
class DocumentDB:
def __init__(self) -> None:
self.conn = psycopg.connect(
f"dbname={os.environ['RAG_DB_NAME']} user={os.environ['RAG_DB_USER']}"
)
self.__configure()
def close(self):
self.conn.close()
def __configure(self):
log.debug("Creating documents table if it does not exist...")
with self.conn.cursor() as cur:
cur.execute(TABLES)
self.conn.commit()
def __hash(self, chunks: List[Document]) -> str:
log.debug("Hashing document...")
document = str.encode("".join([chunk.page_content for chunk in chunks]))
return hashlib.sha256(document).hexdigest()
def add(self, chunks: List[Document]) -> bool:
with self.conn.cursor() as cur:
hash = self.__hash(chunks)
cur.execute(
"""
SELECT * FROM document
WHERE
hash = %s
""",
(hash,),
)
exist = cur.fetchone()
if exist is None:
log.debug("Inserting document hash into documents db...")
cur.execute(
"""
INSERT INTO document
(hash) VALUES
(%s)
""",
(hash,),
)
self.conn.commit()
return exist is None
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