Add SQLite project database + ComfyUI connector nodes

- db.py: ProjectDB class with SQLite schema (projects, data_files,
  sequences, history_trees), WAL mode, CRUD, import, and query helpers
- api_routes.py: REST API endpoints on NiceGUI/FastAPI for ComfyUI
  to query project data over the network
- project_loader.py: ComfyUI nodes (ProjectLoaderDynamic, Standard,
  VACE, LoRA) that fetch data from NiceGUI REST API via HTTP
- web/project_dynamic.js: Frontend JS for dynamic project loader node
- tab_projects_ng.py: Projects management tab in NiceGUI UI
- state.py: Added db, current_project, db_enabled fields
- main.py: DB init, API route registration, projects tab
- utils.py: sync_to_db() dual-write helper
- tab_batch_ng.py, tab_raw_ng.py, tab_timeline_ng.py: dual-write
  sync calls after save_json when project DB is enabled
- __init__.py: Merged project node class mappings
- tests/test_db.py: 30 tests for database layer
- tests/test_project_loader.py: 17 tests for ComfyUI connector nodes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-28 21:12:05 +01:00
parent 0d8e84ea36
commit c15bec98ce
14 changed files with 1495 additions and 5 deletions

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import json
import logging
import sqlite3
import time
from pathlib import Path
from typing import Any
from utils import load_json, KEY_BATCH_DATA, KEY_HISTORY_TREE
logger = logging.getLogger(__name__)
DEFAULT_DB_PATH = Path.home() / ".comfyui_json_manager" / "projects.db"
SCHEMA_SQL = """
CREATE TABLE IF NOT EXISTS projects (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL UNIQUE,
folder_path TEXT NOT NULL,
description TEXT NOT NULL DEFAULT '',
created_at REAL NOT NULL,
updated_at REAL NOT NULL
);
CREATE TABLE IF NOT EXISTS data_files (
id INTEGER PRIMARY KEY AUTOINCREMENT,
project_id INTEGER NOT NULL REFERENCES projects(id) ON DELETE CASCADE,
name TEXT NOT NULL,
data_type TEXT NOT NULL DEFAULT 'generic',
top_level TEXT NOT NULL DEFAULT '{}',
created_at REAL NOT NULL,
updated_at REAL NOT NULL,
UNIQUE(project_id, name)
);
CREATE TABLE IF NOT EXISTS sequences (
id INTEGER PRIMARY KEY AUTOINCREMENT,
data_file_id INTEGER NOT NULL REFERENCES data_files(id) ON DELETE CASCADE,
sequence_number INTEGER NOT NULL,
data TEXT NOT NULL DEFAULT '{}',
updated_at REAL NOT NULL,
UNIQUE(data_file_id, sequence_number)
);
CREATE TABLE IF NOT EXISTS history_trees (
id INTEGER PRIMARY KEY AUTOINCREMENT,
data_file_id INTEGER NOT NULL UNIQUE REFERENCES data_files(id) ON DELETE CASCADE,
tree_data TEXT NOT NULL DEFAULT '{}',
updated_at REAL NOT NULL
);
"""
class ProjectDB:
"""SQLite database for project-based data management."""
def __init__(self, db_path: str | Path | None = None):
self.db_path = Path(db_path) if db_path else DEFAULT_DB_PATH
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self.conn = sqlite3.connect(str(self.db_path), check_same_thread=False)
self.conn.row_factory = sqlite3.Row
self.conn.execute("PRAGMA journal_mode=WAL")
self.conn.execute("PRAGMA foreign_keys=ON")
self.conn.executescript(SCHEMA_SQL)
self.conn.commit()
def close(self):
self.conn.close()
# ------------------------------------------------------------------
# Projects CRUD
# ------------------------------------------------------------------
def create_project(self, name: str, folder_path: str, description: str = "") -> int:
now = time.time()
cur = self.conn.execute(
"INSERT INTO projects (name, folder_path, description, created_at, updated_at) "
"VALUES (?, ?, ?, ?, ?)",
(name, folder_path, description, now, now),
)
self.conn.commit()
return cur.lastrowid
def list_projects(self) -> list[dict]:
rows = self.conn.execute(
"SELECT id, name, folder_path, description, created_at, updated_at "
"FROM projects ORDER BY name"
).fetchall()
return [dict(r) for r in rows]
def get_project(self, name: str) -> dict | None:
row = self.conn.execute(
"SELECT id, name, folder_path, description, created_at, updated_at "
"FROM projects WHERE name = ?",
(name,),
).fetchone()
return dict(row) if row else None
def delete_project(self, name: str) -> bool:
cur = self.conn.execute("DELETE FROM projects WHERE name = ?", (name,))
self.conn.commit()
return cur.rowcount > 0
# ------------------------------------------------------------------
# Data files
# ------------------------------------------------------------------
def create_data_file(
self, project_id: int, name: str, data_type: str = "generic", top_level: dict | None = None
) -> int:
now = time.time()
tl = json.dumps(top_level or {})
cur = self.conn.execute(
"INSERT INTO data_files (project_id, name, data_type, top_level, created_at, updated_at) "
"VALUES (?, ?, ?, ?, ?, ?)",
(project_id, name, data_type, tl, now, now),
)
self.conn.commit()
return cur.lastrowid
def list_data_files(self, project_id: int) -> list[dict]:
rows = self.conn.execute(
"SELECT id, project_id, name, data_type, created_at, updated_at "
"FROM data_files WHERE project_id = ? ORDER BY name",
(project_id,),
).fetchall()
return [dict(r) for r in rows]
def get_data_file(self, project_id: int, name: str) -> dict | None:
row = self.conn.execute(
"SELECT id, project_id, name, data_type, top_level, created_at, updated_at "
"FROM data_files WHERE project_id = ? AND name = ?",
(project_id, name),
).fetchone()
if row is None:
return None
d = dict(row)
d["top_level"] = json.loads(d["top_level"])
return d
def get_data_file_by_names(self, project_name: str, file_name: str) -> dict | None:
row = self.conn.execute(
"SELECT df.id, df.project_id, df.name, df.data_type, df.top_level, "
"df.created_at, df.updated_at "
"FROM data_files df JOIN projects p ON df.project_id = p.id "
"WHERE p.name = ? AND df.name = ?",
(project_name, file_name),
).fetchone()
if row is None:
return None
d = dict(row)
d["top_level"] = json.loads(d["top_level"])
return d
# ------------------------------------------------------------------
# Sequences
# ------------------------------------------------------------------
def upsert_sequence(self, data_file_id: int, sequence_number: int, data: dict) -> None:
now = time.time()
self.conn.execute(
"INSERT INTO sequences (data_file_id, sequence_number, data, updated_at) "
"VALUES (?, ?, ?, ?) "
"ON CONFLICT(data_file_id, sequence_number) DO UPDATE SET data=excluded.data, updated_at=excluded.updated_at",
(data_file_id, sequence_number, json.dumps(data), now),
)
self.conn.commit()
def get_sequence(self, data_file_id: int, sequence_number: int) -> dict | None:
row = self.conn.execute(
"SELECT data FROM sequences WHERE data_file_id = ? AND sequence_number = ?",
(data_file_id, sequence_number),
).fetchone()
return json.loads(row["data"]) if row else None
def list_sequences(self, data_file_id: int) -> list[int]:
rows = self.conn.execute(
"SELECT sequence_number FROM sequences WHERE data_file_id = ? ORDER BY sequence_number",
(data_file_id,),
).fetchall()
return [r["sequence_number"] for r in rows]
def get_sequence_keys(self, data_file_id: int, sequence_number: int) -> tuple[list[str], list[str]]:
"""Returns (keys, types) for a sequence's data dict."""
data = self.get_sequence(data_file_id, sequence_number)
if not data:
return [], []
keys = []
types = []
for k, v in data.items():
keys.append(k)
if isinstance(v, bool):
types.append("STRING")
elif isinstance(v, int):
types.append("INT")
elif isinstance(v, float):
types.append("FLOAT")
else:
types.append("STRING")
return keys, types
def delete_sequences_for_file(self, data_file_id: int) -> None:
self.conn.execute("DELETE FROM sequences WHERE data_file_id = ?", (data_file_id,))
self.conn.commit()
# ------------------------------------------------------------------
# History trees
# ------------------------------------------------------------------
def save_history_tree(self, data_file_id: int, tree_data: dict) -> None:
now = time.time()
self.conn.execute(
"INSERT INTO history_trees (data_file_id, tree_data, updated_at) "
"VALUES (?, ?, ?) "
"ON CONFLICT(data_file_id) DO UPDATE SET tree_data=excluded.tree_data, updated_at=excluded.updated_at",
(data_file_id, json.dumps(tree_data), now),
)
self.conn.commit()
def get_history_tree(self, data_file_id: int) -> dict | None:
row = self.conn.execute(
"SELECT tree_data FROM history_trees WHERE data_file_id = ?",
(data_file_id,),
).fetchone()
return json.loads(row["tree_data"]) if row else None
# ------------------------------------------------------------------
# Import
# ------------------------------------------------------------------
def import_json_file(self, project_id: int, json_path: str | Path, data_type: str = "generic") -> int:
"""Import a JSON file into the database, splitting batch_data into sequences."""
json_path = Path(json_path)
data, _ = load_json(json_path)
file_name = json_path.stem
# Extract top-level keys that aren't batch_data or history_tree
top_level = {k: v for k, v in data.items() if k not in (KEY_BATCH_DATA, KEY_HISTORY_TREE)}
df_id = self.create_data_file(project_id, file_name, data_type, top_level)
# Import sequences from batch_data
batch_data = data.get(KEY_BATCH_DATA, [])
if isinstance(batch_data, list):
for item in batch_data:
seq_num = int(item.get("sequence_number", 0))
self.upsert_sequence(df_id, seq_num, item)
# Import history tree
history_tree = data.get(KEY_HISTORY_TREE)
if history_tree and isinstance(history_tree, dict):
self.save_history_tree(df_id, history_tree)
return df_id
# ------------------------------------------------------------------
# Query helpers (for REST API)
# ------------------------------------------------------------------
def query_sequence_data(self, project_name: str, file_name: str, sequence_number: int) -> dict | None:
"""Query a single sequence by project name, file name, and sequence number."""
df = self.get_data_file_by_names(project_name, file_name)
if not df:
return None
return self.get_sequence(df["id"], sequence_number)
def query_sequence_keys(self, project_name: str, file_name: str, sequence_number: int) -> tuple[list[str], list[str]]:
"""Query keys and types for a sequence."""
df = self.get_data_file_by_names(project_name, file_name)
if not df:
return [], []
return self.get_sequence_keys(df["id"], sequence_number)
def list_project_files(self, project_name: str) -> list[dict]:
"""List data files for a project by name."""
proj = self.get_project(project_name)
if not proj:
return []
return self.list_data_files(proj["id"])
def list_project_sequences(self, project_name: str, file_name: str) -> list[int]:
"""List sequence numbers for a file in a project."""
df = self.get_data_file_by_names(project_name, file_name)
if not df:
return []
return self.list_sequences(df["id"])