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import os
import sqlite3
import io
import pandas as pd
from PIL import Image
import gradio as gr
def connect_db(db_file):
if not db_file:
return None
db_path = db_file.name if hasattr(db_file, "name") else str(db_file)
if not os.path.exists(db_path):
return None
return db_path
def get_all_records(db_path):
if not db_path or not os.path.exists(db_path):
return pd.DataFrame(), "No database loaded or file does not exist."
try:
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='files';")
if not cursor.fetchone():
conn.close()
return pd.DataFrame(), "Table 'files' not found in database."
query = """
SELECT id, filename, file_type, file_size_bytes, upload_timestamp, is_large_file,
CASE WHEN file_content_blob IS NOT NULL THEN 'BLOB Present' ELSE 'None' END as blob_status,
COALESCE(relative_path, 'N/A') as relative_path
FROM files
ORDER BY id ASC
"""
df = pd.read_sql_query(query, conn)
conn.close()
return df, f"Loaded {len(df)} record(s) from database."
except Exception as e:
return pd.DataFrame(), f"Error reading database: {str(e)}"
def extract_file_content(row, db_dir):
"""
Extract content (bytes or text) from a DB record tuple/dict.
row: (id, filename, file_type, file_size_bytes, upload_timestamp, is_large_file, file_content_blob, relative_path)
"""
filename = row['filename']
blob = row['file_content_blob']
rel_path = row['relative_path']
# 1. Check BLOB content
if blob is not None:
return blob, filename
# 2. Check relative_path or upload_dir fallback
paths_to_check = []
if rel_path:
paths_to_check.append(rel_path)
if db_dir:
paths_to_check.append(os.path.join(db_dir, rel_path))
paths_to_check.append(os.path.join(db_dir, os.path.basename(rel_path)))
if db_dir:
paths_to_check.append(os.path.join(db_dir, "uploads", filename))
paths_to_check.append(os.path.join(db_dir, filename))
for path in paths_to_check:
if path and os.path.exists(path) and os.path.isfile(path):
try:
with open(path, "rb") as f:
return f.read(), filename
except Exception:
pass
return None, filename
def is_image_file(filename, file_type=""):
ext = os.path.splitext(filename)[1].lower()
if ext in ['.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp', '.svg']:
return True
if file_type and file_type.startswith('image/'):
return True
return False
def is_text_file(filename, file_type=""):
ext = os.path.splitext(filename)[1].lower()
if ext in ['.txt', '.log', '.md', '.csv', '.json', '.yaml', '.yml']:
return True
if file_type and file_type.startswith('text/'):
return True
return False
def load_gallery_and_texts(db_file):
db_path = connect_db(db_file)
if not db_path:
return [], [], "Please upload a valid SQLite database file (.db)."
db_dir = os.path.dirname(db_path)
try:
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute("SELECT * FROM files ORDER BY id ASC")
rows = cursor.fetchall()
conn.close()
except Exception as e:
return [], [], f"Failed to load records from DB: {str(e)}"
gallery_images = []
text_previews = []
for row in rows:
filename = row['filename']
file_type = row['file_type'] or ""
content_bytes, _ = extract_file_content(row, db_dir)
if content_bytes is None:
continue
if is_image_file(filename, file_type):
try:
img = Image.open(io.BytesIO(content_bytes))
gallery_images.append((img, filename))
except Exception:
pass
if is_text_file(filename, file_type):
try:
text_str = content_bytes.decode('utf-8', errors='replace')
text_previews.append(f"=== {filename} ===\n{text_str}")
except Exception:
pass
joined_texts = "\n\n".join(text_previews) if text_previews else "No text (.txt) files found in DB."
status_msg = f"Loaded {len(gallery_images)} image(s) and {len(text_previews)} text file(s)."
return gallery_images, joined_texts, status_msg
def search_samename(db_file, search_query):
db_path = connect_db(db_file)
if not db_path:
return [], "Please upload a database file first.", "No database loaded."
if not search_query or not search_query.strip():
return [], "Please enter a search query.", "Empty query."
query_str = search_query.strip()
target_basename = os.path.splitext(query_str)[0].strip().lower()
db_dir = os.path.dirname(db_path)
try:
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute("SELECT * FROM files")
rows = cursor.fetchall()
conn.close()
except Exception as e:
return [], f"Database query error: {str(e)}", "Error querying DB."
matched_txt_contents = []
matched_images = []
for row in rows:
filename = row['filename']
file_type = row['file_type'] or ""
base, ext = os.path.splitext(filename)
base_lower = base.lower()
# Check if basename matches search target, or full filename matches
if base_lower == target_basename or filename.lower() == query_str.lower():
content_bytes, _ = extract_file_content(row, db_dir)
if content_bytes is None:
continue
if is_text_file(filename, file_type):
try:
text_str = content_bytes.decode('utf-8', errors='replace')
matched_txt_contents.append(f"๐Ÿ“„ [{filename}]\n{text_str}")
except Exception:
pass
if is_image_file(filename, file_type):
try:
img = Image.open(io.BytesIO(content_bytes))
matched_images.append((img, filename))
except Exception:
pass
txt_output = "\n\n".join(matched_txt_contents) if matched_txt_contents else f"No .txt content matched for basename '{target_basename}'."
status_output = f"Search for '{search_query}' finished. Found {len(matched_images)} image(s) and {len(matched_txt_contents)} text file(s)."
return matched_images, txt_output, status_output
def refresh_all(db_file):
df, table_status = get_all_records(connect_db(db_file))
images, texts, gallery_status = load_gallery_and_texts(db_file)
return images, texts, df, f"{table_status} | {gallery_status}"
# Gradio Interface
with gr.Blocks(title="Image Gallery & SQL Viewer") as demo:
gr.Markdown("# ๐Ÿ–ผ๏ธ Image Gallery & SQLite Database Viewer")
gr.Markdown("Upload a SQLite database file (`.db` generated by SQLite Maker) to inspect records, view images/texts, and search samename files.")
with gr.Row():
db_file_input = gr.File(label="Upload SQLite Database (.db)", file_types=[".db", ".sqlite", ".sqlite3"])
load_btn = gr.Button("Load Database", variant="primary")
status_box = gr.Textbox(label="Status", interactive=False)
with gr.Tabs():
with gr.Tab("๐Ÿ–ผ๏ธ Image Gallery & Text Viewer"):
gallery_display = gr.Gallery(label="Loaded Images", columns=4, height="auto")
text_viewer = gr.TextArea(label="Text Files (.txt) Content", lines=12, interactive=False)
with gr.Tab("๐Ÿ” Samename Search"):
gr.Markdown("Type a filename or basename (e.g., `image1` or `image1.txt`) to find the corresponding `.txt` text and same-basename image `samename.(png/jpg/etc)`.")
with gr.Row():
search_input = gr.Textbox(label="Search Query (e.g. sample.txt or sample)", placeholder="Enter text filename or basename...")
search_btn = gr.Button("Search Samename", variant="primary")
search_status = gr.Textbox(label="Search Status", interactive=False)
search_text_output = gr.TextArea(label="Matched .txt File Content", lines=8, interactive=False)
search_gallery_output = gr.Gallery(label="Matched Samename Image(s)", columns=4, height="auto")
with gr.Tab("๐Ÿ“Š Database Records"):
records_table = gr.Dataframe(label="Files Table Records", interactive=False, wrap=True)
# Event handlers
load_btn.click(
fn=refresh_all,
inputs=[db_file_input],
outputs=[gallery_display, text_viewer, records_table, status_box]
)
db_file_input.change(
fn=refresh_all,
inputs=[db_file_input],
outputs=[gallery_display, text_viewer, records_table, status_box]
)
search_btn.click(
fn=search_samename,
inputs=[db_file_input, search_input],
outputs=[search_gallery_output, search_text_output, search_status]
)
search_input.submit(
fn=search_samename,
inputs=[db_file_input, search_input],
outputs=[search_gallery_output, search_text_output, search_status]
)
if __name__ == "__main__":
demo.launch()