feat: add flask command file-usage (#30500)

This commit is contained in:
wangxiaolei
2026-01-05 10:52:21 +08:00
committed by GitHub
parent eb321ad614
commit d0564ac63c
2 changed files with 213 additions and 0 deletions

View File

@ -1184,6 +1184,217 @@ def remove_orphaned_files_on_storage(force: bool):
click.echo(click.style(f"Removed {removed_files} orphaned files, with {error_files} errors.", fg="yellow"))
@click.command("file-usage", help="Query file usages and show where files are referenced.")
@click.option("--file-id", type=str, default=None, help="Filter by file UUID.")
@click.option("--key", type=str, default=None, help="Filter by storage key.")
@click.option("--src", type=str, default=None, help="Filter by table.column pattern (e.g., 'documents.%' or '%.icon').")
@click.option("--limit", type=int, default=100, help="Limit number of results (default: 100).")
@click.option("--offset", type=int, default=0, help="Offset for pagination (default: 0).")
@click.option("--json", "output_json", is_flag=True, help="Output results in JSON format.")
def file_usage(
file_id: str | None,
key: str | None,
src: str | None,
limit: int,
offset: int,
output_json: bool,
):
"""
Query file usages and show where files are referenced in the database.
This command reuses the same reference checking logic as clear-orphaned-file-records
and displays detailed information about where each file is referenced.
"""
# define tables and columns to process
files_tables = [
{"table": "upload_files", "id_column": "id", "key_column": "key"},
{"table": "tool_files", "id_column": "id", "key_column": "file_key"},
]
ids_tables = [
{"type": "uuid", "table": "message_files", "column": "upload_file_id", "pk_column": "id"},
{"type": "text", "table": "documents", "column": "data_source_info", "pk_column": "id"},
{"type": "text", "table": "document_segments", "column": "content", "pk_column": "id"},
{"type": "text", "table": "messages", "column": "answer", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "inputs", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "process_data", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "outputs", "pk_column": "id"},
{"type": "text", "table": "conversations", "column": "introduction", "pk_column": "id"},
{"type": "text", "table": "conversations", "column": "system_instruction", "pk_column": "id"},
{"type": "text", "table": "accounts", "column": "avatar", "pk_column": "id"},
{"type": "text", "table": "apps", "column": "icon", "pk_column": "id"},
{"type": "text", "table": "sites", "column": "icon", "pk_column": "id"},
{"type": "json", "table": "messages", "column": "inputs", "pk_column": "id"},
{"type": "json", "table": "messages", "column": "message", "pk_column": "id"},
]
# Stream file usages with pagination to avoid holding all results in memory
paginated_usages = []
total_count = 0
# First, build a mapping of file_id -> storage_key from the base tables
file_key_map = {}
for files_table in files_tables:
query = f"SELECT {files_table['id_column']}, {files_table['key_column']} FROM {files_table['table']}"
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
file_key_map[str(row[0])] = f"{files_table['table']}:{row[1]}"
# If filtering by key or file_id, verify it exists
if file_id and file_id not in file_key_map:
if output_json:
click.echo(json.dumps({"error": f"File ID {file_id} not found in base tables"}))
else:
click.echo(click.style(f"File ID {file_id} not found in base tables.", fg="red"))
return
if key:
valid_prefixes = {f"upload_files:{key}", f"tool_files:{key}"}
matching_file_ids = [fid for fid, fkey in file_key_map.items() if fkey in valid_prefixes]
if not matching_file_ids:
if output_json:
click.echo(json.dumps({"error": f"Key {key} not found in base tables"}))
else:
click.echo(click.style(f"Key {key} not found in base tables.", fg="red"))
return
guid_regexp = "[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}"
# For each reference table/column, find matching file IDs and record the references
for ids_table in ids_tables:
src_filter = f"{ids_table['table']}.{ids_table['column']}"
# Skip if src filter doesn't match (use fnmatch for wildcard patterns)
if src:
if "%" in src or "_" in src:
import fnmatch
# Convert SQL LIKE wildcards to fnmatch wildcards (% -> *, _ -> ?)
pattern = src.replace("%", "*").replace("_", "?")
if not fnmatch.fnmatch(src_filter, pattern):
continue
else:
if src_filter != src:
continue
if ids_table["type"] == "uuid":
# Direct UUID match
query = (
f"SELECT {ids_table['pk_column']}, {ids_table['column']} "
f"FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL"
)
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
record_id = str(row[0])
ref_file_id = str(row[1])
if ref_file_id not in file_key_map:
continue
storage_key = file_key_map[ref_file_id]
# Apply filters
if file_id and ref_file_id != file_id:
continue
if key and not storage_key.endswith(key):
continue
# Only collect items within the requested page range
if offset <= total_count < offset + limit:
paginated_usages.append(
{
"src": f"{ids_table['table']}.{ids_table['column']}",
"record_id": record_id,
"file_id": ref_file_id,
"key": storage_key,
}
)
total_count += 1
elif ids_table["type"] in ("text", "json"):
# Extract UUIDs from text/json content
column_cast = f"{ids_table['column']}::text" if ids_table["type"] == "json" else ids_table["column"]
query = (
f"SELECT {ids_table['pk_column']}, {column_cast} "
f"FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL"
)
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
record_id = str(row[0])
content = str(row[1])
# Find all UUIDs in the content
import re
uuid_pattern = re.compile(guid_regexp, re.IGNORECASE)
matches = uuid_pattern.findall(content)
for ref_file_id in matches:
if ref_file_id not in file_key_map:
continue
storage_key = file_key_map[ref_file_id]
# Apply filters
if file_id and ref_file_id != file_id:
continue
if key and not storage_key.endswith(key):
continue
# Only collect items within the requested page range
if offset <= total_count < offset + limit:
paginated_usages.append(
{
"src": f"{ids_table['table']}.{ids_table['column']}",
"record_id": record_id,
"file_id": ref_file_id,
"key": storage_key,
}
)
total_count += 1
# Output results
if output_json:
result = {
"total": total_count,
"offset": offset,
"limit": limit,
"usages": paginated_usages,
}
click.echo(json.dumps(result, indent=2))
else:
click.echo(
click.style(f"Found {total_count} file usages (showing {len(paginated_usages)} results)", fg="white")
)
click.echo("")
if not paginated_usages:
click.echo(click.style("No file usages found matching the specified criteria.", fg="yellow"))
return
# Print table header
click.echo(
click.style(
f"{'Src (Table.Column)':<50} {'Record ID':<40} {'File ID':<40} {'Storage Key':<60}",
fg="cyan",
)
)
click.echo(click.style("-" * 190, fg="white"))
# Print each usage
for usage in paginated_usages:
click.echo(f"{usage['src']:<50} {usage['record_id']:<40} {usage['file_id']:<40} {usage['key']:<60}")
# Show pagination info
if offset + limit < total_count:
click.echo("")
click.echo(
click.style(
f"Showing {offset + 1}-{offset + len(paginated_usages)} of {total_count} results", fg="white"
)
)
click.echo(click.style(f"Use --offset {offset + limit} to see next page", fg="white"))
@click.command("setup-system-tool-oauth-client", help="Setup system tool oauth client.")
@click.option("--provider", prompt=True, help="Provider name")
@click.option("--client-params", prompt=True, help="Client Params")

View File

@ -11,6 +11,7 @@ def init_app(app: DifyApp):
create_tenant,
extract_plugins,
extract_unique_plugins,
file_usage,
fix_app_site_missing,
install_plugins,
install_rag_pipeline_plugins,
@ -47,6 +48,7 @@ def init_app(app: DifyApp):
clear_free_plan_tenant_expired_logs,
clear_orphaned_file_records,
remove_orphaned_files_on_storage,
file_usage,
setup_system_tool_oauth_client,
setup_system_trigger_oauth_client,
cleanup_orphaned_draft_variables,