Files
qwen-image/tour-comfy/database.py
2026-07-01 05:42:20 +02:00

1195 lines
44 KiB
Python

import psycopg2
from psycopg2 import pool as _pgpool
import threading
import json
import time
import random
DB_CONFIG = {
"host": "192.168.1.160",
"port": 5433,
"dbname": "dv",
"user": "dev",
"password": "dev"
}
# A pooled connection is reused across requests instead of paying a fresh TCP +
# auth round-trip (~40 ms) on every single query. Under load (a generation
# running, a burst of reorders) the old open-per-call design starved the web
# threadpool and occasionally tripped Postgres' connection ceiling → 500s.
# The pool bounds connections and keeps them warm. If the pool can't be
# created or is momentarily exhausted, get_db_connection() falls back to a
# direct connect so callers never block or fail.
# Cover the web server's sync threadpool (uvicorn/anyio default = 40 workers)
# with headroom for background workers, while staying well under Postgres'
# max_connections (100).
_POOL_MIN = 2
_POOL_MAX = 48
_pool = None
_pool_lock = threading.Lock()
def _get_pool():
global _pool
if _pool is not None:
return _pool
with _pool_lock:
if _pool is None:
try:
_pool = _pgpool.ThreadedConnectionPool(
_POOL_MIN, _POOL_MAX, **DB_CONFIG)
except Exception as e:
print(f"[db] pool init failed, using direct connections: {e}")
_pool = False # sentinel: don't retry on every call
return _pool
def get_db_connection():
"""Return a live DB connection, preferring the pool.
Always pair with _put_db_connection() (the existing finally: conn.close()
callsites are rewritten to call it) so pooled connections are returned
rather than dropped.
"""
p = _get_pool()
if p:
try:
conn = p.getconn()
# Guard against a stale/dead pooled connection.
if getattr(conn, "closed", 0):
try:
p.putconn(conn, close=True)
except Exception:
pass
else:
return conn
except _pgpool.PoolError:
# Pool momentarily exhausted — expected under burst; fall back to a
# direct connection silently rather than blocking or failing.
pass
except Exception as e:
print(f"[db] pool getconn failed, direct connect: {e}")
return psycopg2.connect(**DB_CONFIG)
def _put_db_connection(conn):
"""Return a connection to the pool (rolling back any open txn) or close it.
Safe for both pooled and direct/fallback connections: putconn raises for a
connection the pool doesn't own, in which case we just close it.
"""
if conn is None:
return
p = _pool
try:
if p:
try:
conn.rollback() # clear any aborted/idle-in-txn state before reuse
except Exception:
pass
p.putconn(conn)
return
except Exception:
pass
try:
conn.close()
except Exception:
pass
def migrate_schema():
"""Add new columns to person table if they don't exist. Safe to call repeatedly."""
conn = get_db_connection()
cur = conn.cursor()
try:
# Create prompt table first
cur.execute("""
CREATE TABLE IF NOT EXISTS prompt (
id SERIAL PRIMARY KEY,
type TEXT NOT NULL,
prompt_text TEXT NOT NULL,
metadata JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT unique_prompt_type_text UNIQUE (type, prompt_text)
)
""")
# Create turntable table
cur.execute("""
CREATE TABLE IF NOT EXISTS turntable (
group_id TEXT PRIMARY KEY,
preferred_filename TEXT,
source_image TEXT,
seed INTEGER,
n_views INTEGER,
steps INTEGER,
video_path TEXT,
completed BOOLEAN DEFAULT FALSE,
started_at DOUBLE PRECISION,
completed_at DOUBLE PRECISION,
angles TEXT, -- JSON list of angles
views TEXT -- JSON representation of views dict
)
""")
for sql in [
"ALTER TABLE person ADD COLUMN IF NOT EXISTS prompt TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS pose TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS sort_order INTEGER",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS group_name TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS hidden BOOLEAN DEFAULT FALSE",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS has_background BOOLEAN DEFAULT TRUE",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS source_refs TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS has_clothing BOOLEAN DEFAULT NULL",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS content_type TEXT DEFAULT 'image'",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS faceswap_source_video TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS archived BOOLEAN DEFAULT FALSE",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS face_embedding vector(512)",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS is_source BOOLEAN DEFAULT FALSE",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS pose_description TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS pose_skeleton TEXT",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS people_count INTEGER DEFAULT NULL",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS anatomical_completeness BOOLEAN DEFAULT NULL",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS facial_direction TEXT DEFAULT NULL",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS objects JSONB DEFAULT NULL",
"ALTER TABLE person ADD COLUMN IF NOT EXISTS description TEXT",
]:
cur.execute(sql)
conn.commit()
finally:
cur.close()
_put_db_connection(conn)
try:
initialize_tags_in_db()
except Exception as e:
print(f"[db] initialize_tags_in_db error: {e}")
try:
migrate_turntable_states_from_disk_to_db()
except Exception as e:
print(f"[db] migrate_turntable_states_from_disk_to_db error: {e}")
def initialize_tags_in_db():
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT filename, archived, hidden, is_source, sort_order, has_background, tags
FROM person
""")
rows = cur.fetchall()
for filename, archived, hidden, is_source, sort_order, has_background, tags_val in rows:
tags_list = []
if tags_val:
if isinstance(tags_val, str):
try:
tags_list = json.loads(tags_val)
except Exception:
tags_list = []
elif isinstance(tags_val, list):
tags_list = tags_val
is_archived = bool(archived) if archived is not None else False
is_hidden = bool(hidden) if hidden is not None else False
is_src = bool(is_source) if is_source is not None else False
has_bg = bool(has_background) if has_background is not None else True
def add_tag_if_missing(tag):
if tag not in tags_list:
tags_list.append(tag)
if is_archived:
add_tag_if_missing("ARCHIVED")
if "VISIBLE" in tags_list:
tags_list.remove("VISIBLE")
else:
if not is_hidden:
add_tag_if_missing("VISIBLE")
if "ARCHIVED" in tags_list:
tags_list.remove("ARCHIVED")
if is_hidden:
add_tag_if_missing("HIDDEN")
if "VISIBLE" in tags_list:
tags_list.remove("VISIBLE")
else:
if "HIDDEN" in tags_list:
tags_list.remove("HIDDEN")
if is_src:
add_tag_if_missing("SOURCE")
else:
if "SOURCE" in tags_list:
tags_list.remove("SOURCE")
if sort_order == 0:
add_tag_if_missing("GROUP_ANCHOR")
if "GROUP_MEMBER" in tags_list:
tags_list.remove("GROUP_MEMBER")
else:
add_tag_if_missing("GROUP_MEMBER")
if "GROUP_ANCHOR" in tags_list:
tags_list.remove("GROUP_ANCHOR")
if not has_bg:
add_tag_if_missing("BACKGROUND_REMOVED")
if "BACKGROUND" in tags_list:
tags_list.remove("BACKGROUND")
else:
add_tag_if_missing("BACKGROUND")
if "BACKGROUND_REMOVED" in tags_list:
tags_list.remove("BACKGROUND_REMOVED")
# ORBIT tag logic: only true orbits are tagged with ORBIT
is_orb = filename.startswith("_turntable/")
if is_orb:
add_tag_if_missing("ORBIT")
else:
if "ORBIT" in tags_list:
tags_list.remove("ORBIT")
cur.execute("UPDATE person SET tags = %s WHERE filename = %s", (json.dumps(tags_list), filename))
conn.commit()
finally:
cur.close()
_put_db_connection(conn)
def upsert_person(filename, filepath=None, name=None, group_id=None, tags=None,
embedding=None, clip_description=None, prompt=None, pose=None,
sort_order=None, group_name=None, hidden=None,
has_background=None, source_refs=None, has_clothing=None,
content_type=None, faceswap_source_video=None, archived=None,
face_embedding=None, is_source=None,
pose_description=None, pose_skeleton=None,
people_count=None, anatomical_completeness=None, facial_direction=None, objects=None,
description=None):
if tags is not None:
if isinstance(tags, str):
try:
tags_list = json.loads(tags)
except Exception:
tags_list = []
elif isinstance(tags, list):
tags_list = tags
else:
tags_list = []
# Enforce that ORBIT is only on _turntable/ files
if filename.startswith("_turntable/"):
if "ORBIT" not in tags_list:
tags_list.append("ORBIT")
else:
tags_list = [t for t in tags_list if t != "ORBIT"]
tags = tags_list
conn = get_db_connection()
cur = conn.cursor()
face_embedding_str = ("[" + ",".join(map(str, face_embedding)) + "]") if face_embedding is not None else None
try:
cur.execute("""
INSERT INTO person (filename, filepath, name, group_id, tags, embedding,
clip_description, prompt, pose, sort_order, group_name, hidden,
has_background, source_refs, has_clothing,
content_type, faceswap_source_video, archived, face_embedding, is_source,
pose_description, pose_skeleton, people_count, anatomical_completeness, facial_direction, objects,
description)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (filename) DO UPDATE
SET filepath = COALESCE(EXCLUDED.filepath, person.filepath),
name = COALESCE(EXCLUDED.name, person.name),
group_id = COALESCE(EXCLUDED.group_id, person.group_id),
tags = COALESCE(EXCLUDED.tags, person.tags),
embedding = COALESCE(EXCLUDED.embedding, person.embedding),
clip_description = COALESCE(EXCLUDED.clip_description, person.clip_description),
prompt = COALESCE(EXCLUDED.prompt, person.prompt),
pose = COALESCE(EXCLUDED.pose, person.pose),
sort_order = COALESCE(EXCLUDED.sort_order, person.sort_order),
group_name = COALESCE(EXCLUDED.group_name, person.group_name),
hidden = COALESCE(EXCLUDED.hidden, person.hidden),
has_background = COALESCE(EXCLUDED.has_background, person.has_background),
source_refs = COALESCE(EXCLUDED.source_refs, person.source_refs),
has_clothing = COALESCE(EXCLUDED.has_clothing, person.has_clothing),
content_type = COALESCE(EXCLUDED.content_type, person.content_type),
faceswap_source_video = COALESCE(EXCLUDED.faceswap_source_video, person.faceswap_source_video),
archived = COALESCE(EXCLUDED.archived, person.archived),
face_embedding = COALESCE(EXCLUDED.face_embedding, person.face_embedding),
is_source = COALESCE(EXCLUDED.is_source, person.is_source),
pose_description = COALESCE(EXCLUDED.pose_description, person.pose_description),
pose_skeleton = COALESCE(EXCLUDED.pose_skeleton, person.pose_skeleton),
people_count = COALESCE(EXCLUDED.people_count, person.people_count),
anatomical_completeness = COALESCE(EXCLUDED.anatomical_completeness, person.anatomical_completeness),
facial_direction = COALESCE(EXCLUDED.facial_direction, person.facial_direction),
objects = COALESCE(EXCLUDED.objects, person.objects),
description = COALESCE(EXCLUDED.description, person.description);
""", (filename, filepath, name, group_id,
json.dumps(tags) if tags else None,
embedding, clip_description, prompt, pose, sort_order, group_name, hidden,
has_background, source_refs, has_clothing,
content_type, faceswap_source_video, archived, face_embedding_str, is_source,
pose_description, pose_skeleton, people_count, anatomical_completeness, facial_direction,
json.dumps(objects) if objects else None,
description))
conn.commit()
# Sync after commit
try:
sync_by_filename_async(filename)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def set_archived(filename, archived: bool):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("UPDATE person SET archived = %s WHERE filename = %s", (archived, filename))
conn.commit()
try:
sync_by_filename_async(filename)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def set_filenames_archived(filenames, archived: bool):
if not filenames:
return []
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("UPDATE person SET archived = %s WHERE filename = ANY(%s) RETURNING filename", (archived, list(filenames)))
rows = cur.fetchall()
updated = [r[0] for r in rows]
conn.commit()
for fn in updated:
try:
sync_by_filename_async(fn)
except Exception:
pass
return updated
finally:
cur.close()
_put_db_connection(conn)
def set_hidden(filename, hidden: bool):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("UPDATE person SET hidden = %s WHERE filename = %s", (hidden, filename))
conn.commit()
try:
sync_by_filename_async(filename)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def set_person_tags(filename, tags):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("UPDATE person SET tags = %s WHERE filename = %s", (json.dumps(tags) if tags is not None else None, filename))
conn.commit()
try:
sync_by_filename_async(filename)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def get_person(filename):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT name, group_id, tags, embedding, clip_description, filepath,
prompt, pose, sort_order, group_name, hidden, has_background, source_refs,
has_clothing, is_source, pose_description, pose_skeleton,
people_count, anatomical_completeness, facial_direction, objects, description
FROM person WHERE filename = %s
""", (filename,))
return cur.fetchone()
finally:
cur.close()
_put_db_connection(conn)
def list_persons(include_archived=False):
conn = get_db_connection()
cur = conn.cursor()
try:
where = "" if include_archived else "WHERE archived IS NOT TRUE"
cur.execute(f"""
SELECT filename, name, group_id, clip_description,
prompt, pose, sort_order, group_name, hidden, has_background, source_refs,
has_clothing, content_type, faceswap_source_video, archived, is_source, tags,
pose_description, pose_skeleton, people_count, anatomical_completeness, facial_direction, objects, description,
filepath
FROM person
{where}
""")
return cur.fetchall()
finally:
cur.close()
_put_db_connection(conn)
def search_similar(embedding, limit=10):
conn = get_db_connection()
cur = conn.cursor()
try:
embedding_str = "[" + ",".join(map(str, embedding)) + "]"
cur.execute("""
SELECT filename, name, group_id, clip_description, embedding <=> %s AS distance
FROM person
WHERE embedding IS NOT NULL
ORDER BY distance ASC
LIMIT %s;
""", (embedding_str, limit))
return cur.fetchall()
finally:
cur.close()
_put_db_connection(conn)
def delete_person(filename):
person = get_person(filename)
gid = person[1] if person else None
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("DELETE FROM person WHERE filename = %s", (filename,))
conn.commit()
# Delete JSON file on disk
try:
out_dir = _get_output_dir()
base, _ = os.path.splitext(filename)
json_path = os.path.join(out_dir, base + ".json")
if os.path.exists(json_path):
os.remove(json_path)
except Exception:
pass
if gid:
try:
sync_group_to_json_async(gid)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def delete_group(group_id):
files = get_group_files(group_id)
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("DELETE FROM person WHERE group_id = %s", (group_id,))
conn.commit()
# Delete JSON files on disk
out_dir = _get_output_dir()
for f in files:
try:
base, _ = os.path.splitext(f[0])
json_path = os.path.join(out_dir, base + ".json")
if os.path.exists(json_path):
os.remove(json_path)
except Exception:
pass
try:
group_json_path = os.path.join(out_dir, "_data", f"group_{group_id}.json")
if os.path.exists(group_json_path):
os.remove(group_json_path)
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def get_group_files(group_id):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("SELECT filename, filepath FROM person WHERE group_id = %s", (group_id,))
return cur.fetchall()
finally:
cur.close()
_put_db_connection(conn)
def set_group_order(group_id, ordered_filenames):
"""Assign sort_order 0,1,2,... to filenames in the given order, resiliently."""
max_retries = 5
for attempt in range(max_retries):
conn = get_db_connection()
cur = conn.cursor()
try:
# Deterministic lock ordering to prevent deadlocks:
# Fetch and lock all unique filenames alphabetically
unique_filenames = sorted(list(set(ordered_filenames)))
if unique_filenames:
cur.execute(
"SELECT filename FROM person WHERE filename = ANY(%s) ORDER BY filename FOR UPDATE",
(unique_filenames,)
)
for idx, fname in enumerate(ordered_filenames):
cur.execute(
"UPDATE person SET sort_order = %s WHERE filename = %s",
(idx, fname)
)
conn.commit()
break
except (psycopg2.OperationalError, psycopg2.extensions.TransactionRollbackError) as e:
pgcode = getattr(e, 'pgcode', None)
if pgcode in ('40P01', '40001') or "deadlock" in str(e).lower():
try:
conn.rollback()
except Exception:
pass
if attempt == max_retries - 1:
raise
sleep_time = (0.1 * (2 ** attempt)) + random.uniform(0.01, 0.1)
time.sleep(sleep_time)
else:
raise
finally:
cur.close()
_put_db_connection(conn)
try:
sync_group_to_json_async(group_id)
for fname in ordered_filenames:
sync_person_to_json_async(fname)
except Exception:
pass
def get_group_order(group_id):
"""Return [(filename, sort_order), ...] sorted by sort_order NULLS LAST."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT filename, sort_order
FROM person
WHERE group_id = %s
ORDER BY sort_order NULLS LAST, filename
""", (group_id,))
return cur.fetchall()
finally:
cur.close()
_put_db_connection(conn)
def set_group_name(group_id, name):
"""Set group_name for every file in the group."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("UPDATE person SET group_name = %s WHERE group_id = %s", (name, group_id))
conn.commit()
try:
sync_group_to_json_async(group_id)
files = get_group_files(group_id)
for f in files:
sync_person_to_json_async(f[0])
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def get_next_sort_order(group_id):
"""Return max(sort_order)+1 for the group, or 1 if no sorted members exist."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute(
"SELECT COALESCE(MAX(sort_order), 0) + 1 FROM person WHERE group_id = %s",
(group_id,)
)
return cur.fetchone()[0]
finally:
cur.close()
_put_db_connection(conn)
def get_all_group_names():
"""Return {group_id: group_name} for groups that have a name set."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT DISTINCT ON (group_id) group_id, group_name
FROM person
WHERE group_id IS NOT NULL AND group_name IS NOT NULL
""")
return {row[0]: row[1] for row in cur.fetchall()}
finally:
cur.close()
_put_db_connection(conn)
def get_face_embedding(filename):
"""Return the face_embedding as a list of floats for a filename, or None."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("SELECT face_embedding FROM person WHERE filename = %s", (filename,))
row = cur.fetchone()
if row and row[0] is not None:
val = row[0]
# psycopg2 without a pgvector adapter returns vectors as plain strings "[f,f,...]"
if isinstance(val, str):
return [float(x) for x in val.strip("[]").split(",")]
return list(val)
return None
finally:
cur.close()
_put_db_connection(conn)
def search_similar_face(embedding, limit=12, exclude_group_id=None):
"""Cosine search on face_embedding (stored only for *_face.png rows).
Returns [(filename, group_id, distance), ...] sorted ascending by distance.
Rows belonging to exclude_group_id are skipped so a group doesn't match itself.
"""
conn = get_db_connection()
cur = conn.cursor()
try:
embedding_str = "[" + ",".join(map(str, embedding)) + "]"
if exclude_group_id:
cur.execute("""
SELECT filename, group_id, face_embedding <=> %s AS distance
FROM person
WHERE face_embedding IS NOT NULL
AND (group_id IS NULL OR group_id != %s)
ORDER BY distance ASC
LIMIT %s
""", (embedding_str, exclude_group_id, limit))
else:
cur.execute("""
SELECT filename, group_id, face_embedding <=> %s AS distance
FROM person
WHERE face_embedding IS NOT NULL
ORDER BY distance ASC
LIMIT %s
""", (embedding_str, limit))
return cur.fetchall()
finally:
cur.close()
_put_db_connection(conn)
def invalidate_all_metadata():
"""Reset metadata columns to NULL so they can be re-analyzed by the backfill worker."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
UPDATE person
SET people_count = NULL,
anatomical_completeness = NULL,
facial_direction = NULL,
objects = NULL,
pose_description = NULL,
pose_skeleton = NULL
WHERE NOT (filename LIKE '_turntable/%')
""")
conn.commit()
finally:
cur.close()
_put_db_connection(conn)
import os
import math
def _get_output_dir():
# Load config.json to find output_dir
config_paths = ["config.json", "tour-comfy/config.json", "../config.json"]
for p in config_paths:
if os.path.exists(p):
try:
with open(p, "r") as f:
cfg = json.load(f)
if "output_dir" in cfg:
return cfg["output_dir"]
except Exception:
pass
return "../output" # Default fallback
def sync_person_to_json(filename):
"""Write/sync a detailed .json file with the DB fields of the specified filename."""
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT filename, filepath, name, group_id, tags, embedding,
clip_description, prompt, pose, sort_order, group_name, hidden,
has_background, source_refs, has_clothing, content_type,
faceswap_source_video, archived, face_embedding, is_source,
pose_description, pose_skeleton, people_count, anatomical_completeness,
facial_direction, objects, description
FROM person
WHERE filename = %s
""", (filename,))
row = cur.fetchone()
if not row:
return
# Parse tags
tags_val = row[4]
tags_list = []
if tags_val:
if isinstance(tags_val, str):
try: tags_list = json.loads(tags_val)
except Exception: tags_list = []
elif isinstance(tags_val, list):
tags_list = tags_val
# Parse objects
obj_val = row[25]
obj_list = []
if obj_val:
if isinstance(obj_val, str):
try: obj_list = json.loads(obj_val)
except Exception: obj_list = []
elif isinstance(obj_val, list):
obj_list = obj_val
# Parse source_refs
ref_val = row[13]
ref_list = []
if ref_val:
if isinstance(ref_val, str):
try: ref_list = json.loads(ref_val)
except Exception: ref_list = []
elif isinstance(ref_val, list):
ref_list = ref_val
# Represent embeddings as lists of floats (for json compatibility)
embedding_list = None
if row[5] is not None:
if isinstance(row[5], str):
embedding_list = [float(x) for x in row[5].strip("[]").split(",") if x.strip()]
else:
embedding_list = list(row[5])
face_embedding_list = None
if row[18] is not None:
if isinstance(row[18], str):
face_embedding_list = [float(x) for x in row[18].strip("[]").split(",") if x.strip()]
else:
face_embedding_list = list(row[18])
# Parse pose_skeleton
pose_skel = None
if row[21]:
try:
pose_skel = json.loads(row[21])
except Exception:
pose_skel = row[21]
data = {
"filename": row[0],
"filepath": row[1],
"name": row[2],
"group_id": row[3],
"tags": tags_list,
"embedding": embedding_list,
"clip_description": row[6],
"prompt": row[7],
"pose": row[8],
"sort_order": row[9],
"group_name": row[10],
"hidden": bool(row[11]) if row[11] is not None else False,
"has_background": bool(row[12]) if row[12] is not None else True,
"source_refs": ref_list,
"has_clothing": row[14],
"content_type": row[15] or "image",
"faceswap_source_video": row[16],
"archived": bool(row[17]) if row[17] is not None else False,
"face_embedding": face_embedding_list,
"is_source": bool(row[19]) if row[19] is not None else False,
"pose_description": row[20],
"pose_skeleton": pose_skel,
"people_count": row[22],
"anatomical_completeness": row[23],
"facial_direction": row[24],
"objects": obj_list,
"description": row[26]
}
# Determine json path
out_dir = _get_output_dir()
if row[1] and os.path.isabs(row[1]):
# Use same directory as absolute filepath
base, _ = os.path.splitext(row[1])
json_path = base + ".json"
else:
# Fallback to output_dir
base, _ = os.path.splitext(row[0])
json_path = os.path.join(out_dir, base + ".json")
os.makedirs(os.path.dirname(json_path), exist_ok=True)
tmp_json_path = json_path + ".tmp"
with open(tmp_json_path, "w") as f:
json.dump(data, f, indent=2)
os.replace(tmp_json_path, json_path)
except Exception as e:
print(f"[db] Error syncing person {filename} to JSON: {e}")
finally:
cur.close()
_put_db_connection(conn)
def sync_group_to_json(group_id):
"""Sync all members of a group, calculate group rating and similarity variation,
and save to _data/group_<group_id>.json.
"""
if not group_id:
return
conn = get_db_connection()
cur = conn.cursor()
try:
# Fetch all members
cur.execute("""
SELECT filename, filepath, name, tags, embedding,
clip_description, prompt, pose, sort_order, group_name, hidden,
has_background, source_refs, content_type, faceswap_source_video,
archived, face_embedding, is_source, pose_description, pose_skeleton
FROM person
WHERE group_id = %s
ORDER BY sort_order ASC, filename ASC
""", (group_id,))
rows = cur.fetchall()
members = []
likes = 0
dislikes = 0
clip_embs = []
face_embs = []
for r in rows:
tags_val = r[3]
tags_list = []
if tags_val:
if isinstance(tags_val, str):
try: tags_list = json.loads(tags_val)
except Exception: tags_list = []
elif isinstance(tags_val, list):
tags_list = tags_val
if "LIKE" in tags_list:
likes += 1
elif "DISLIKE" in tags_list:
dislikes += 1
# Parse embeddings for similarity
if r[4] is not None:
if isinstance(r[4], str):
clip_list = [float(x) for x in r[4].strip("[]").split(",") if x.strip()]
else:
clip_list = list(r[4])
if clip_list:
clip_embs.append(clip_list)
if r[16] is not None:
if isinstance(r[16], str):
face_list = [float(x) for x in r[16].strip("[]").split(",") if x.strip()]
else:
face_list = list(r[16])
if face_list:
face_embs.append(face_list)
members.append({
"filename": r[0],
"filepath": r[1],
"name": r[2],
"tags": tags_list,
"clip_description": r[5],
"prompt": r[6],
"pose": r[7],
"sort_order": r[8],
"hidden": bool(r[10]),
"archived": bool(r[15]),
"is_source": bool(r[17])
})
def cosine_similarity(v1, v2):
if not v1 or not v2: return 0.0
dot = sum(a * b for a, b in zip(v1, v2))
norm1 = math.sqrt(sum(a * a for a in v1))
norm2 = math.sqrt(sum(b * b for b in v2))
if norm1 == 0 or norm2 == 0: return 0.0
return dot / (norm1 * norm2)
def calc_stats(embs):
if len(embs) < 2:
return {"average": 1.0, "min": 1.0, "max": 1.0, "variation": 0.0, "pairs_count": 0}
similarities = []
for i in range(len(embs)):
for j in range(i + 1, len(embs)):
similarities.append(cosine_similarity(embs[i], embs[j]))
if not similarities:
return {"average": 1.0, "min": 1.0, "max": 1.0, "variation": 0.0, "pairs_count": 0}
avg_sim = sum(similarities) / len(similarities)
min_sim = min(similarities)
max_sim = max(similarities)
variance = sum((s - avg_sim) ** 2 for s in similarities) / len(similarities)
return {
"average": float(avg_sim),
"min": float(min_sim),
"max": float(max_sim),
"variation": float(math.sqrt(variance)),
"pairs_count": len(similarities)
}
group_name = rows[0][9] if rows else group_id
group_data = {
"group_id": group_id,
"group_name": group_name,
"rating": {
"likes": likes,
"dislikes": dislikes,
"score": likes - dislikes,
"normalized_score": (likes - dislikes) / (likes + dislikes + 2.0) if (likes + dislikes) > 0 else 0.0,
"ratio": likes / (likes + dislikes) if (likes + dislikes) > 0 else 0.0
},
"clip_similarity_stats": calc_stats(clip_embs),
"face_similarity_stats": calc_stats(face_embs),
"members": members
}
out_dir = _get_output_dir()
data_dir = os.path.join(out_dir, "_data")
os.makedirs(data_dir, exist_ok=True)
json_path = os.path.join(data_dir, f"group_{group_id}.json")
tmp_json_path = json_path + ".tmp"
with open(tmp_json_path, "w") as f:
json.dump(group_data, f, indent=2)
os.replace(tmp_json_path, json_path)
except Exception as e:
print(f"[db] Error syncing group {group_id} to JSON: {e}")
finally:
cur.close()
_put_db_connection(conn)
def sync_by_filename(filename):
sync_person_to_json(filename)
person = get_person(filename)
if person and person[1]:
sync_group_to_json(person[1])
from concurrent.futures import ThreadPoolExecutor
_sync_executor = ThreadPoolExecutor(max_workers=2, thread_name_prefix="db_sync_worker")
def sync_by_filename_async(filename):
_sync_executor.submit(sync_by_filename, filename)
def sync_group_to_json_async(group_id):
_sync_executor.submit(sync_group_to_json, group_id)
def sync_person_to_json_async(filename):
_sync_executor.submit(sync_person_to_json, filename)
def save_db_prompt(prompt_type: str, prompt_text: str, metadata: dict = None):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
INSERT INTO prompt (type, prompt_text, metadata, created_at)
VALUES (%s, %s, %s, NOW())
ON CONFLICT (type, prompt_text) DO UPDATE
SET metadata = EXCLUDED.metadata,
created_at = NOW()
""", (prompt_type, prompt_text, json.dumps(metadata) if metadata is not None else None))
conn.commit()
except Exception as e:
print(f"[db] error saving prompt {prompt_type}: {e}")
try:
conn.rollback()
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def list_db_prompts(prompt_type: str = None, limit: int = 100):
conn = get_db_connection()
cur = conn.cursor()
try:
if prompt_type:
cur.execute("""
SELECT id, type, prompt_text, metadata, created_at
FROM prompt
WHERE type = %s
ORDER BY created_at DESC
LIMIT %s
""", (prompt_type, limit))
else:
cur.execute("""
SELECT id, type, prompt_text, metadata, created_at
FROM prompt
ORDER BY created_at DESC
LIMIT %s
""", (limit,))
rows = cur.fetchall()
result = []
for r in rows:
meta = r[3]
if isinstance(meta, str):
try:
meta = json.loads(meta)
except Exception:
meta = {}
elif meta is None:
meta = {}
result.append({
"id": r[0],
"type": r[1],
"prompt_text": r[2],
"metadata": meta,
"created_at": r[4].isoformat() if r[4] else None
})
return result
except Exception as e:
print(f"[db] error listing prompts: {e}")
return []
finally:
cur.close()
_put_db_connection(conn)
def save_turntable(group_id, state):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
INSERT INTO turntable (group_id, preferred_filename, source_image, seed, n_views, steps, video_path, completed, started_at, completed_at, angles, views)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (group_id) DO UPDATE SET
preferred_filename = EXCLUDED.preferred_filename,
source_image = EXCLUDED.source_image,
seed = EXCLUDED.seed,
n_views = EXCLUDED.n_views,
steps = EXCLUDED.steps,
video_path = EXCLUDED.video_path,
completed = EXCLUDED.completed,
started_at = EXCLUDED.started_at,
completed_at = EXCLUDED.completed_at,
angles = EXCLUDED.angles,
views = EXCLUDED.views
""", (
group_id,
state.get("preferred_filename"),
state.get("source_image"),
state.get("seed"),
state.get("n_views"),
state.get("steps"),
state.get("video_path"),
state.get("completed", False),
state.get("started_at"),
state.get("completed_at"),
json.dumps(state.get("angles", [])),
json.dumps(state.get("views", {}))
))
conn.commit()
except Exception as e:
print(f"[db] error saving turntable for {group_id}: {e}")
try:
conn.rollback()
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def load_turntable(group_id):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("""
SELECT group_id, preferred_filename, source_image, seed, n_views, steps, video_path, completed, started_at, completed_at, angles, views
FROM turntable
WHERE group_id = %s
""", (group_id,))
row = cur.fetchone()
if not row:
return None
angles_val = []
if row[10]:
try:
angles_val = json.loads(row[10])
except Exception:
angles_val = []
views_val = {}
if row[11]:
try:
views_val = json.loads(row[11])
except Exception:
views_val = {}
return {
"group_id": row[0],
"preferred_filename": row[1],
"source_image": row[2],
"seed": row[3],
"n_views": row[4],
"steps": row[5],
"video_path": row[6],
"completed": bool(row[7]) if row[7] is not None else False,
"started_at": row[8],
"completed_at": row[9],
"angles": angles_val,
"views": views_val
}
except Exception as e:
print(f"[db] error loading turntable for {group_id}: {e}")
return None
finally:
cur.close()
_put_db_connection(conn)
def delete_turntable(group_id):
conn = get_db_connection()
cur = conn.cursor()
try:
cur.execute("DELETE FROM turntable WHERE group_id = %s", (group_id,))
conn.commit()
except Exception as e:
print(f"[db] error deleting turntable for {group_id}: {e}")
try:
conn.rollback()
except Exception:
pass
finally:
cur.close()
_put_db_connection(conn)
def migrate_turntable_states_from_disk_to_db():
try:
out_dir = _get_output_dir()
td = os.path.join(out_dir, "_turntable")
if not os.path.isdir(td):
return
gids = [d for d in os.listdir(td) if os.path.isfile(os.path.join(td, d, "state.json"))]
for gid in gids:
p = os.path.join(td, gid, "state.json")
try:
with open(p, "r") as f:
state = json.load(f)
if state:
save_turntable(gid, state)
except Exception as e:
print(f"[db] Error migrating turntable state {gid} from disk: {e}")
except Exception as e:
print(f"[db] Error in migrate_turntable_states_from_disk_to_db: {e}")