agnes-the-ai-analyst/cli/commands/query.py
ZdenekSrotyr d605e7d95f feat: add --register-bq and --stdin to da query for hybrid BQ+local queries
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-11 11:09:11 +02:00

167 lines
6 KiB
Python

"""Query commands — da query."""
import json
import os
import sys
from pathlib import Path
from typing import List, Optional
import typer
def query_command(
sql: Optional[str] = typer.Argument(None, help="SQL query to execute (positional)"),
sql_opt: Optional[str] = typer.Option(None, "--sql", help="SQL query to execute (named option)"),
remote: bool = typer.Option(False, "--remote", help="Execute on server instead of locally"),
fmt: str = typer.Option("table", "--format", "-f", help="Output format: table, json, csv"),
limit: int = typer.Option(1000, "--limit", help="Max rows to return"),
register_bq: Optional[List[str]] = typer.Option(
None,
"--register-bq",
help="Register a BigQuery result as a DuckDB view. Format: alias=BQ_SQL. Can be repeated.",
),
stdin: bool = typer.Option(False, "--stdin", help="Read SQL from stdin as JSON {\"sql\": \"...\"}"),
):
"""Execute SQL query against DuckDB."""
# Resolve SQL from exactly one of: positional, --sql, or --stdin
sources_provided = sum([
sql is not None,
sql_opt is not None,
stdin,
])
if sources_provided == 0:
typer.echo("Error: provide SQL as a positional argument, --sql option, or --stdin flag.", err=True)
raise typer.Exit(1)
if sources_provided > 1:
typer.echo("Error: only one of positional SQL, --sql, or --stdin may be used at a time.", err=True)
raise typer.Exit(1)
if stdin:
raw = sys.stdin.read()
try:
payload = json.loads(raw)
resolved_sql = payload["sql"]
except (json.JSONDecodeError, KeyError) as exc:
typer.echo(f"Error: failed to parse stdin JSON: {exc}", err=True)
raise typer.Exit(1)
elif sql_opt is not None:
resolved_sql = sql_opt
else:
resolved_sql = sql
if register_bq:
_query_hybrid(resolved_sql, fmt, limit, register_bq)
elif remote:
_query_remote(resolved_sql, fmt, limit)
else:
_query_local(resolved_sql, fmt, limit)
def _query_local(sql: str, fmt: str, limit: int):
"""Run query against local DuckDB."""
import duckdb
local_dir = Path(os.environ.get("DA_LOCAL_DIR", "."))
db_path = local_dir / "user" / "duckdb" / "analytics.duckdb"
if not db_path.exists():
typer.echo("Local DuckDB not found. Run: da sync", err=True)
raise typer.Exit(1)
conn = duckdb.connect(str(db_path), read_only=True)
try:
result = conn.execute(sql).fetchmany(limit)
columns = [desc[0] for desc in conn.description] if conn.description else []
_output(columns, result, fmt)
except Exception as e:
typer.echo(f"Query error: {e}", err=True)
raise typer.Exit(1)
finally:
conn.close()
def _query_remote(sql: str, fmt: str, limit: int):
"""Run query against server DuckDB via API."""
from cli.client import api_post
resp = api_post("/api/query", json={"sql": sql, "limit": limit})
if resp.status_code != 200:
typer.echo(f"Query failed: {resp.json().get('detail', resp.text)}", err=True)
raise typer.Exit(1)
data = resp.json()
_output(data["columns"], data["rows"], fmt)
if data.get("truncated"):
typer.echo(f"(truncated at {limit} rows)", err=True)
def _query_hybrid(sql: str, fmt: str, limit: int, register_bq_specs: List[str]):
"""Run a hybrid query: register BigQuery results as DuckDB views, then execute locally."""
import duckdb
from src.remote_query import RemoteQueryEngine, RemoteQueryError, load_config
local_dir = Path(os.environ.get("DA_LOCAL_DIR", "."))
db_path = local_dir / "user" / "duckdb" / "analytics.duckdb"
if not db_path.exists():
typer.echo("Local DuckDB not found. Run: da sync", err=True)
raise typer.Exit(1)
conn = duckdb.connect(str(db_path))
try:
config = load_config()
engine = RemoteQueryEngine(conn, **{k: v for k, v in config.items() if k in (
"max_bq_registration_rows", "max_memory_mb", "max_result_rows", "timeout_seconds"
)})
for spec in register_bq_specs:
if "=" not in spec:
typer.echo(
f"Error: --register-bq spec must be 'alias=BQ_SQL', got: {spec!r}",
err=True,
)
raise typer.Exit(1)
alias, bq_sql = spec.split("=", 1)
alias = alias.strip()
bq_sql = bq_sql.strip()
try:
info = engine.register_bq(alias, bq_sql)
typer.echo(
f"Registered BQ alias '{alias}': {info['rows']:,} rows, "
f"{info['memory_mb']:.1f} MiB",
err=True,
)
except RemoteQueryError as exc:
typer.echo(f"BQ registration failed for '{alias}': {exc}", err=True)
raise typer.Exit(1)
try:
result = engine.execute(sql)
except RemoteQueryError as exc:
typer.echo(f"Query error: {exc}", err=True)
raise typer.Exit(1)
_output(result["columns"], result["rows"], fmt)
if result.get("truncated"):
typer.echo(f"(truncated at {result['row_count']} rows)", err=True)
finally:
conn.close()
def _output(columns: list, rows: list, fmt: str):
if fmt == "json":
output = [dict(zip(columns, row)) for row in rows]
typer.echo(json.dumps(output, indent=2, default=str))
elif fmt == "csv":
typer.echo(",".join(columns))
for row in rows:
typer.echo(",".join(str(v) if v is not None else "" for v in row))
else:
# Table format using rich
from rich.console import Console
from rich.table import Table
console = Console()
table = Table()
for col in columns:
table.add_column(col)
for row in rows:
table.add_row(*(str(v) if v is not None else "" for v in row))
console.print(table)