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AIRegulation-DocAnalysis/backend/app/infrastructure/storage/postgres_document_repository.py

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"""Implement infrastructure support for postgres document repository."""
from __future__ import annotations
import json
from contextlib import contextmanager
from datetime import UTC, datetime
from typing import Any
import psycopg2
import psycopg2.extras
from psycopg2.pool import ThreadedConnectionPool
from app.config.settings import settings
from app.domain.documents import Document, DocumentRepository, DocumentStatus
_CREATE_TABLE = """
CREATE TABLE IF NOT EXISTS documents (
doc_id VARCHAR(128) PRIMARY KEY,
doc_name VARCHAR(512) NOT NULL DEFAULT '',
file_name VARCHAR(512) NOT NULL DEFAULT '',
object_name VARCHAR(1024) NOT NULL DEFAULT '',
content_type VARCHAR(128) NOT NULL DEFAULT '',
size_bytes BIGINT NOT NULL DEFAULT 0,
status VARCHAR(32) NOT NULL DEFAULT 'pending',
regulation_type VARCHAR(128) NOT NULL DEFAULT '',
version VARCHAR(64) NOT NULL DEFAULT '',
summary TEXT NOT NULL DEFAULT '',
summary_latency_ms INTEGER NOT NULL DEFAULT 0,
chunk_count INTEGER NOT NULL DEFAULT 0,
parser_name VARCHAR(128) NOT NULL DEFAULT '',
index_name VARCHAR(128) NOT NULL DEFAULT '',
error_message TEXT NOT NULL DEFAULT '',
metadata JSONB NOT NULL DEFAULT '{}',
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
"""
_COLUMNS = (
"doc_id", "doc_name", "file_name", "object_name", "content_type",
"size_bytes", "status", "regulation_type", "version", "summary",
"summary_latency_ms", "chunk_count", "parser_name", "index_name",
"error_message", "metadata", "created_at", "updated_at",
)
class PostgresDocumentRepository(DocumentRepository):
"""DocumentRepository implementation backed by PostgreSQL."""
def __init__(self) -> None:
self._pool = ThreadedConnectionPool(
minconn=1,
maxconn=5,
host=settings.postgres_host,
port=settings.postgres_port,
user=settings.postgres_user,
password=settings.postgres_password,
dbname=settings.postgres_db,
)
self._ensure_schema()
def _ensure_schema(self) -> None:
with self._conn() as conn:
with conn.cursor() as cur:
cur.execute(_CREATE_TABLE)
conn.commit()
@contextmanager
def _conn(self):
conn = self._pool.getconn()
try:
yield conn
finally:
self._pool.putconn(conn)
# ------------------------------------------------------------------
# Serialization helpers
# ------------------------------------------------------------------
def _row_to_document(self, row: dict[str, Any]) -> Document:
return Document(
doc_id=row["doc_id"],
doc_name=row["doc_name"],
file_name=row["file_name"],
object_name=row["object_name"],
content_type=row["content_type"],
size_bytes=row["size_bytes"],
status=DocumentStatus(row["status"]),
regulation_type=row["regulation_type"],
version=row["version"],
summary=row["summary"],
summary_latency_ms=row["summary_latency_ms"],
chunk_count=row["chunk_count"],
parser_name=row["parser_name"],
index_name=row["index_name"],
error_message=row["error_message"],
metadata=row["metadata"] if isinstance(row["metadata"], dict) else json.loads(row["metadata"] or "{}"),
created_at=row["created_at"],
updated_at=row["updated_at"],
)
# ------------------------------------------------------------------
# DocumentRepository interface
# ------------------------------------------------------------------
def create(self, document: Document) -> Document:
sql = """
INSERT INTO documents
(doc_id, doc_name, file_name, object_name, content_type, size_bytes,
status, regulation_type, version, summary, summary_latency_ms,
chunk_count, parser_name, index_name, error_message, metadata,
created_at, updated_at)
VALUES
(%(doc_id)s, %(doc_name)s, %(file_name)s, %(object_name)s, %(content_type)s,
%(size_bytes)s, %(status)s, %(regulation_type)s, %(version)s, %(summary)s,
%(summary_latency_ms)s, %(chunk_count)s, %(parser_name)s, %(index_name)s,
%(error_message)s, %(metadata)s, %(created_at)s, %(updated_at)s)
ON CONFLICT (doc_id) DO NOTHING
"""
with self._conn() as conn:
with conn.cursor() as cur:
cur.execute(sql, self._to_params(document))
conn.commit()
return document
def update(self, document: Document) -> Document:
document.updated_at = datetime.now(UTC)
sql = """
UPDATE documents SET
doc_name=%(doc_name)s, file_name=%(file_name)s, object_name=%(object_name)s,
content_type=%(content_type)s, size_bytes=%(size_bytes)s, status=%(status)s,
regulation_type=%(regulation_type)s, version=%(version)s, summary=%(summary)s,
summary_latency_ms=%(summary_latency_ms)s, chunk_count=%(chunk_count)s,
parser_name=%(parser_name)s, index_name=%(index_name)s,
error_message=%(error_message)s, metadata=%(metadata)s, updated_at=%(updated_at)s
WHERE doc_id=%(doc_id)s
"""
with self._conn() as conn:
with conn.cursor() as cur:
cur.execute(sql, self._to_params(document))
conn.commit()
return document
def get(self, doc_id: str) -> Document | None:
sql = "SELECT * FROM documents WHERE doc_id = %s"
with self._conn() as conn:
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute(sql, (doc_id,))
row = cur.fetchone()
return self._row_to_document(dict(row)) if row else None
def list(self, limit: int | None = None) -> list[Document]:
sql = "SELECT * FROM documents ORDER BY updated_at DESC"
if limit is not None:
sql += f" LIMIT {int(limit)}"
with self._conn() as conn:
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute(sql)
rows = cur.fetchall()
return [self._row_to_document(dict(r)) for r in rows]
def delete(self, doc_id: str) -> bool:
sql = "DELETE FROM documents WHERE doc_id = %s"
with self._conn() as conn:
with conn.cursor() as cur:
cur.execute(sql, (doc_id,))
deleted = cur.rowcount > 0
conn.commit()
return deleted
def update_status(
self,
doc_id: str,
status: DocumentStatus,
*,
error_message: str = "",
chunk_count: int | None = None,
summary: str | None = None,
summary_latency_ms: int | None = None,
parser_name: str | None = None,
index_name: str | None = None,
metadata: dict | None = None,
) -> Document | None:
document = self.get(doc_id)
if not document:
return None
document.status = status
document.error_message = error_message
if chunk_count is not None:
document.chunk_count = chunk_count
if summary is not None:
document.summary = summary
if summary_latency_ms is not None:
document.summary_latency_ms = summary_latency_ms
if parser_name is not None:
document.parser_name = parser_name
if index_name is not None:
document.index_name = index_name
if metadata:
document.metadata.update(metadata)
return self.update(document)
# ------------------------------------------------------------------
# Internal helpers
# ------------------------------------------------------------------
def _to_params(self, document: Document) -> dict[str, Any]:
return {
"doc_id": document.doc_id,
"doc_name": document.doc_name,
"file_name": document.file_name,
"object_name": document.object_name,
"content_type": document.content_type,
"size_bytes": document.size_bytes,
"status": document.status.value,
"regulation_type": document.regulation_type,
"version": document.version,
"summary": document.summary,
"summary_latency_ms": document.summary_latency_ms,
"chunk_count": document.chunk_count,
"parser_name": document.parser_name,
"index_name": document.index_name,
"error_message": document.error_message,
"metadata": json.dumps(document.metadata, ensure_ascii=False),
"created_at": document.created_at,
"updated_at": document.updated_at,
}