import urllib.parse
from typing import Any, Dict, Iterable, List, Optional, Union
try:
import pyarrow.flight as flight # type: ignore[import-untyped]
except ModuleNotFoundError as e:
raise ModuleNotFoundError(
"To use WatsonxSQLDatabase one need to install langchain-ibm with extras "
"`sql_toolkit`: `pip install langchain-ibm[sql_toolkit]`"
) from e
from ibm_watsonx_ai import APIClient, Credentials # type: ignore[import-untyped]
from ibm_watsonx_ai.helpers.connections.flight_sql_service import ( # type: ignore[import-untyped]
FlightSQLClient,
)
from langchain_core.utils.utils import from_env
[docs]
def truncate_word(content: Any, *, length: int, suffix: str = "...") -> str:
"""
Truncate a string to a certain number of characters, based on the max string
length.
Based on the analogous function from langchain_common.utilities.sql_database.py
"""
if not isinstance(content, str) or length <= 0:
return content
if len(content) <= length:
return content
return content[: length - len(suffix)].rsplit(" ", 1)[0] + suffix
def _validate_param(value: Optional[str], key: str, env_key: str) -> None:
if value is None:
raise ValueError(
f"Did not find {key}, please add an environment variable"
f" `{env_key}` which contains it, or pass"
f" `{key}` as a named parameter."
)
return None
def _from_env(env_var_name: str) -> Optional[str]:
"""Read env variable. If it is not set, return None."""
return from_env(env_var_name, default=None)()
[docs]
def pretty_print_table_info(schema: str, table_name: str, table_info: dict) -> str:
def convert_column_data(field_metadata: dict) -> str:
name = field_metadata.get("name")
field_metadata_type = field_metadata.get("type", {})
native_type = field_metadata_type.get("native_type")
nullable = field_metadata_type.get("nullable")
return f"{name} {native_type}{'' if nullable else ' NOT NULL'},"
create_table_template = """
CREATE TABLE {schema}.{table_name} (
\t{column_definitions}{primary_key}
\t)"""
primary_key: dict = next(
filter(
lambda el: el.get("name") == "primary_key",
table_info.get("extended_metadata", [{}]),
),
{},
)
key_columns = primary_key.get("value", {}).get("key_columns", [])
return create_table_template.format(
schema=schema,
table_name=table_name,
column_definitions="\n\t".join(
[
convert_column_data(field_metadata=field_metadata)
for field_metadata in table_info["fields"]
]
),
primary_key=f"\n\tPRIMARY KEY ({', '.join(key_columns)})"
if primary_key
else "",
)
[docs]
class WatsonxSQLDatabase:
"""Watsonx SQL Database class for IBM watsonx.ai databases
connection assets. Uses Arrow Flight to interact with databases via watsonx.
:param connection_id: ID of db connection asset
:type connection_id: str
:param schema: name of the database schema from which tables will be read
:type schema: str
:param project_id: ID of project, defaults to None
:type project_id: Optional[str], optional
:param space_id: ID of space, defaults to None
:type space_id: Optional[str], optional
:param url: URL to the Watson Machine Learning or CPD instance, defaults to None
:type url: Optional[str], optional
:param apikey: API key to the Watson Machine Learning
or CPD instance, defaults to None
:type apikey: Optional[str], optional
:param token: service token, used in token authentication, defaults to None
:type token: Optional[str], optional
:param password: password to the CPD instance., defaults to None
:type password: Optional[str], optional
:param username: username to the CPD instance., defaults to None
:type username: Optional[str], optional
:param instance_id: instance_id of the CPD instance., defaults to None
:type instance_id: Optional[str], optional
:param version: version of the CPD instance, defaults to None
:type version: Optional[str], optional
:param verify: certificate verification flag, defaults to None
:type verify: Union[str, bool, None], optional
:param watsonx_client: instance of `ibm_watsonx_ai.APIClient`, defaults to None
:type watsonx_client: Optional[APIClient], optional
:param ignore_tables: list of tables that will be ignored, defaults to None
:type ignore_tables: Optional[List[str]], optional
:param include_tables: list of tables that should be included, defaults to None
:type include_tables: Optional[List[str]], optional
:param sample_rows_in_table_info: number of first rows to be added to the
table info, defaults to 3
:type sample_rows_in_table_info: int, optional
:param max_string_length: max length of string, defaults to 300
:type max_string_length: int, optional
:raises ValueError: raise if some required credentials are missing
:raises RuntimeError: raise if no tables found in given schema
"""
[docs]
def __init__(
self,
*,
connection_id: str,
schema: str,
project_id: Optional[str] = None,
space_id: Optional[str] = None,
url: Optional[str] = None,
apikey: Optional[str] = None,
token: Optional[str] = None,
password: Optional[str] = None,
username: Optional[str] = None,
instance_id: Optional[str] = None,
version: Optional[str] = None,
verify: Union[str, bool, None] = None,
watsonx_client: Optional[APIClient] = None, #: :meta private:
ignore_tables: Optional[List[str]] = None,
include_tables: Optional[List[str]] = None,
sample_rows_in_table_info: int = 3,
max_string_length: int = 300,
) -> None:
if include_tables and ignore_tables:
raise ValueError("Cannot specify both include_tables and ignore_tables")
self.schema = schema
self._ignore_tables = set(ignore_tables) if ignore_tables else set()
self._include_tables = set(include_tables) if include_tables else set()
self._sample_rows_in_table_info = sample_rows_in_table_info
self._max_string_length = max_string_length
if watsonx_client is None:
url = url or _from_env("WATSONX_URL")
_validate_param(url, "url", "WATSONX_URL")
parsed_url = urllib.parse.urlparse(url)
if parsed_url.netloc.endswith(".cloud.ibm.com"): # type: ignore[arg-type]
token = token or _from_env("WATSONX_TOKEN")
apikey = apikey or _from_env("WATSONX_APIKEY")
if not token and not apikey:
raise ValueError(
"Did not find 'apikey' or 'token',"
" please add an environment variable"
" `WATSONX_APIKEY` or 'WATSONX_TOKEN' "
"which contains it,"
" or pass 'apikey' or 'token'"
" as a named parameter."
)
else:
token = token or _from_env("WATSONX_TOKEN")
apikey = apikey or _from_env("WATSONX_APIKEY")
password = password or _from_env("WATSONX_PASSWORD")
if not token and not password and not apikey:
raise ValueError(
"Did not find 'token', 'password' or 'apikey',"
" please add an environment variable"
" `WATSONX_TOKEN`, 'WATSONX_PASSWORD' or 'WATSONX_APIKEY' "
"which contains it,"
" or pass 'token', 'password' or 'apikey'"
" as a named parameter."
)
try:
_validate_param(token, "token", "WATSONX_TOKEN")
except ValueError:
pass
def _check_with_username(
auth_name: str, auth_object: Any, username: Optional[str] = username
) -> None:
try:
_validate_param(
auth_object, auth_name, "WATSONX_" + auth_name.upper()
)
except ValueError:
pass
else:
username = username or _from_env("WATSONX_USERNAME")
_validate_param(username, "username", "WATSONX_USERNAME")
# validate if password is passed then username is also passed
_check_with_username(auth_name="password", auth_object=password)
# validate if apikey is passed then username is also passed
_check_with_username(auth_name="apikey", auth_object=apikey)
instance_id = instance_id or _from_env("WATSONX_INSTANCE_ID")
_validate_param(instance_id, "instance_id", "WATSONX_INSTANCE_ID")
credentials = Credentials(
url=url,
api_key=apikey,
token=token,
password=password,
username=username,
instance_id=instance_id,
version=version,
verify=verify,
)
self.watsonx_client = APIClient(
credentials=credentials, project_id=project_id, space_id=space_id
)
project_id = project_id or _from_env("WATSONX_PROJECT_ID")
space_id = space_id or _from_env("WATSONX_SPACE_ID")
if project_id:
self.watsonx_client.set.default_project(project_id=project_id)
elif space_id:
self.watsonx_client.set.default_space(space_id=space_id)
else:
self.watsonx_client = watsonx_client
context_id: dict[str, Optional[str]] = {"project_id": None, "space_id": None}
if project_id is not None:
context_id["project_id"] = project_id
elif space_id is not None:
context_id["space_id"] = space_id
elif self.watsonx_client.default_project_id is not None:
context_id["project_id"] = self.watsonx_client.default_project_id
elif self.watsonx_client.default_space_id is not None:
context_id["space_id"] = self.watsonx_client.default_space_id
else:
raise ValueError("Either project_id or space_id is required.")
self._flight_sql_client = FlightSQLClient(
connection_id=connection_id, api_client=self.watsonx_client, **context_id
)
with self._flight_sql_client as flight_sql_client:
_tables = flight_sql_client.get_tables(schema=self.schema).get("assets")
if _tables is not None:
self._all_tables = {
table.get("name") for table in _tables if table.get("name")
}
else:
raise RuntimeError(f"No tables found in the schema: {schema}")
if self._include_tables:
missing_tables = self._include_tables - self._all_tables
if missing_tables:
raise ValueError(
f"include_tables {missing_tables} not found in database"
)
if self._ignore_tables:
missing_tables = self._ignore_tables - self._all_tables
if missing_tables:
raise ValueError(
f"ignore_tables {missing_tables} not found in database"
)
self._meta_all_tables = {
table_name: flight_sql_client.get_table_info(
table_name=table_name, schema=self.schema
)
for table_name in self._all_tables
if table_name in (self._include_tables or self._all_tables)
and table_name not in (self._ignore_tables or {})
}
[docs]
def get_usable_table_names(self) -> Iterable[str]:
"""Get names of tables available."""
if self._include_tables:
return sorted(self._include_tables)
return sorted(self._all_tables - self._ignore_tables)
def _execute(
self,
command: str,
) -> dict:
"""Execute a command."""
with self._flight_sql_client as flight_sql_client:
results = flight_sql_client.execute(query=command)
return results.to_dict("records")
[docs]
def run(self, command: str, include_columns: bool = False) -> str:
"""Execute a SQL command and return a string representing the results."""
result = self._execute(command)
res: List[Dict] = [
{
column: truncate_word(value, length=self._max_string_length)
for column, value in r.items()
}
for r in result
]
if not include_columns:
res = [tuple(row.values()) for row in res] # type: ignore[misc]
return str(res) if res else ""
[docs]
def run_no_throw(
self,
command: str,
include_columns: bool = False,
) -> str:
"""Execute a SQL command and return a string representing the results.
If the statement throws an error, the error message is returned.
"""
try:
return self.run(
command,
include_columns=include_columns,
)
except flight.FlightError as e:
"""Format the error message"""
return f"Error: {e}"
[docs]
def get_table_info(self, table_names: Optional[Iterable[str]] = None) -> str:
"""Get information about specified tables."""
all_table_names = self.get_usable_table_names()
if table_names is not None:
missing_tables = set(table_names).difference(all_table_names)
if missing_tables:
raise ValueError(f"table_names {missing_tables} not found in database")
with self._flight_sql_client as flight_sql_client:
if table_names is None:
table_names = self._all_tables
return "\n\n".join(
[
pretty_print_table_info(
schema=self.schema,
table_name=table_name,
table_info=self._meta_all_tables[table_name],
)
+ f"\n\nFirst {self._sample_rows_in_table_info} rows "
+ f"of table {table_name}:\n\n"
+ flight_sql_client.get_n_first_rows(
schema=self.schema,
table_name=table_name,
n=self._sample_rows_in_table_info,
).to_string()
for table_name in table_names
]
)
[docs]
def get_table_info_no_throw(
self, table_names: Optional[Iterable[str]] = None
) -> str:
"""Get information about specified tables."""
try:
return self.get_table_info(table_names=table_names)
except (flight.FlightError, ValueError) as e:
"""Format the error message"""
return f"Error: {e}"
[docs]
def get_context(self) -> Dict[str, Any]:
"""Return db context that you may want in agent prompt."""
table_names = list(self.get_usable_table_names())
table_info = self.get_table_info_no_throw()
return {"table_info": table_info, "table_names": ", ".join(table_names)}
