blob: 7d088da2479ce63912ca878ef523fa288c357651 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
import hashlib
import os
from typing import List
import psycopg
from langchain_core.documents.base import Document
TABLES = """
CREATE TABLE IF NOT EXISTS document (
hash text PRIMARY KEY)
"""
class Documents:
def __init__(self) -> None:
self.conn = psycopg.connect(
f"dbname={os.environ['RAG_DB_NAME']} user={os.environ['RAG_DB_USER']}"
)
self.__create_content_table()
def close(self):
self.conn.close()
def __create_content_table(self):
with self.conn.cursor() as cur:
cur.execute(TABLES)
self.conn.commit()
def __hash(self, chunks: List[Document]) -> str:
document = str.encode("".join([chunk.page_content for chunk in chunks]))
return hashlib.sha256(document).hexdigest()
def add_document(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:
cur.execute(
"""
INSERT INTO document
(hash) VALUES
(%s)
""",
(hash,),
)
self.conn.commit()
return exist is not None
|
