mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-06-13 08:45:13 +02:00
changes. Support for separate workspaces Addition of workspace CLI support for test purposes
244 lines
6.5 KiB
Python
244 lines
6.5 KiB
Python
"""
|
|
Execute a SPARQL query against the TrustGraph knowledge graph.
|
|
"""
|
|
|
|
import argparse
|
|
import os
|
|
import json
|
|
import sys
|
|
from trustgraph.api import Api
|
|
|
|
default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
|
|
default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
|
|
default_workspace = os.getenv("TRUSTGRAPH_WORKSPACE", "default")
|
|
default_collection = 'default'
|
|
|
|
|
|
def _term_cell(val):
|
|
"""Extract display string from a wire-format term."""
|
|
if val is None:
|
|
return ""
|
|
t = val.get("t", "")
|
|
if t == "i":
|
|
return val.get("i", "")
|
|
elif t == "l":
|
|
return val.get("v", "")
|
|
return val.get("v", val.get("i", ""))
|
|
|
|
|
|
def _term_str(val):
|
|
"""Convert a wire-format term to a Turtle-style display string."""
|
|
if val is None:
|
|
return "?"
|
|
t = val.get("t", "")
|
|
if t == "i":
|
|
return f"<{val.get('i', '')}>"
|
|
elif t == "l":
|
|
v = val.get("v", "")
|
|
dt = val.get("d", "")
|
|
lang = val.get("l", "")
|
|
if lang:
|
|
return f'"{v}"@{lang}'
|
|
elif dt:
|
|
return f'"{v}"^^<{dt}>'
|
|
return f'"{v}"'
|
|
return str(val)
|
|
|
|
|
|
def sparql_query(url, token, flow_id, query, collection, limit,
|
|
batch_size, output_format, workspace="default"):
|
|
|
|
socket = Api(url=url, token=token, workspace=workspace).socket()
|
|
flow = socket.flow(flow_id)
|
|
|
|
variables = None
|
|
all_rows = []
|
|
|
|
try:
|
|
|
|
for response in flow.sparql_query_stream(
|
|
query=query,
|
|
collection=collection,
|
|
limit=limit,
|
|
batch_size=batch_size,
|
|
):
|
|
if "error" in response:
|
|
err = response["error"]
|
|
msg = err.get("message", err) if isinstance(err, dict) else err
|
|
raise RuntimeError(msg)
|
|
|
|
query_type = response.get("query-type", "select")
|
|
|
|
# ASK queries - just print and return
|
|
if query_type == "ask":
|
|
print("true" if response.get("ask-result") else "false")
|
|
return
|
|
|
|
# CONSTRUCT/DESCRIBE - print triples
|
|
if query_type in ("construct", "describe"):
|
|
triples = response.get("triples", [])
|
|
if not triples:
|
|
print("No triples.")
|
|
elif output_format == "json":
|
|
print(json.dumps(triples, indent=2))
|
|
else:
|
|
for t in triples:
|
|
s = _term_str(t.get("s"))
|
|
p = _term_str(t.get("p"))
|
|
o = _term_str(t.get("o"))
|
|
print(f"{s} {p} {o} .")
|
|
return
|
|
|
|
# SELECT - accumulate bindings across batches
|
|
if variables is None:
|
|
variables = response.get("variables", [])
|
|
|
|
bindings = response.get("bindings", [])
|
|
for binding in bindings:
|
|
values = binding.get("values", [])
|
|
all_rows.append([_term_cell(v) for v in values])
|
|
|
|
# Output SELECT results
|
|
if variables is None:
|
|
print("No results.")
|
|
return
|
|
|
|
if not all_rows:
|
|
print("No results.")
|
|
return
|
|
|
|
if output_format == "json":
|
|
rows = []
|
|
for row in all_rows:
|
|
rows.append({
|
|
var: cell for var, cell in zip(variables, row)
|
|
})
|
|
print(json.dumps(rows, indent=2))
|
|
else:
|
|
# Table format
|
|
col_widths = [len(v) for v in variables]
|
|
for row in all_rows:
|
|
for i, cell in enumerate(row):
|
|
if i < len(col_widths):
|
|
col_widths[i] = max(col_widths[i], len(cell))
|
|
|
|
header = " | ".join(
|
|
v.ljust(col_widths[i]) for i, v in enumerate(variables)
|
|
)
|
|
separator = "-+-".join("-" * w for w in col_widths)
|
|
print(header)
|
|
print(separator)
|
|
for row in all_rows:
|
|
line = " | ".join(
|
|
cell.ljust(col_widths[i]) if i < len(col_widths) else cell
|
|
for i, cell in enumerate(row)
|
|
)
|
|
print(line)
|
|
|
|
finally:
|
|
socket.close()
|
|
|
|
|
|
def main():
|
|
|
|
parser = argparse.ArgumentParser(
|
|
prog='tg-invoke-sparql-query',
|
|
description=__doc__,
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-u', '--url',
|
|
default=default_url,
|
|
help=f'API URL (default: {default_url})',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-t', '--token',
|
|
default=default_token,
|
|
help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-w', '--workspace',
|
|
default=default_workspace,
|
|
help=f'Workspace (default: {default_workspace})',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-f', '--flow-id',
|
|
default="default",
|
|
help='Flow ID (default: default)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-q', '--query',
|
|
help='SPARQL query string',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-i', '--input',
|
|
help='Read SPARQL query from file (use - for stdin)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-C', '--collection',
|
|
default=default_collection,
|
|
help=f'Collection ID (default: {default_collection})',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-l', '--limit',
|
|
type=int,
|
|
default=10000,
|
|
help='Result limit (default: 10000)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-b', '--batch-size',
|
|
type=int,
|
|
default=20,
|
|
help='Streaming batch size (default: 20)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'--format',
|
|
choices=['table', 'json'],
|
|
default='table',
|
|
help='Output format (default: table)',
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
# Get query from argument or file
|
|
query = args.query
|
|
if not query and args.input:
|
|
if args.input == '-':
|
|
query = sys.stdin.read()
|
|
else:
|
|
with open(args.input) as f:
|
|
query = f.read()
|
|
|
|
if not query:
|
|
parser.error("Either -q/--query or -i/--input is required")
|
|
|
|
try:
|
|
|
|
sparql_query(
|
|
url=args.url,
|
|
token=args.token,
|
|
flow_id=args.flow_id,
|
|
query=query,
|
|
collection=args.collection,
|
|
limit=args.limit,
|
|
batch_size=args.batch_size,
|
|
output_format=args.format,
|
|
workspace=args.workspace,
|
|
)
|
|
|
|
except Exception as e:
|
|
print(f"Exception: {e}", flush=True, file=sys.stderr)
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|