From fdcfb87e37e211ea08dc227e7f10d6ebd2eeb427 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 14 Jan 2025 15:26:10 +0100 Subject: [PATCH 01/15] feat(sandbox): adding docker sandbox --- pandasai/sandbox/Dockerfile | 13 ++ pandasai/sandbox/__init__.py | 0 pandasai/sandbox/docker_sandbox.py | 147 +++++++++++++++++++++++ pandasai/sandbox/sandbox.py | 29 +++++ poetry.lock | 53 +++++++- pyproject.toml | 1 + tests/unit_tests/sandbox/test_sandbox.py | 110 +++++++++++++++++ 7 files changed, 351 insertions(+), 2 deletions(-) create mode 100644 pandasai/sandbox/Dockerfile create mode 100644 pandasai/sandbox/__init__.py create mode 100644 pandasai/sandbox/docker_sandbox.py create mode 100644 pandasai/sandbox/sandbox.py create mode 100644 tests/unit_tests/sandbox/test_sandbox.py diff --git a/pandasai/sandbox/Dockerfile b/pandasai/sandbox/Dockerfile new file mode 100644 index 000000000..9f3427966 --- /dev/null +++ b/pandasai/sandbox/Dockerfile @@ -0,0 +1,13 @@ +# Use the official Python 3.9 image +FROM python:3.9 + +LABEL image_name="pandaai-sandbox" + +# Install required Python packages +RUN pip install pandas numpy matplotlib + +# Set the working directory inside the container +WORKDIR /app + +# Default command keeps the container running (useful for testing or debugging) +CMD ["sleep", "infinity"] diff --git a/pandasai/sandbox/__init__.py b/pandasai/sandbox/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/pandasai/sandbox/docker_sandbox.py b/pandasai/sandbox/docker_sandbox.py new file mode 100644 index 000000000..451870873 --- /dev/null +++ b/pandasai/sandbox/docker_sandbox.py @@ -0,0 +1,147 @@ +import ast +import io +import os +import tarfile +import uuid + +import docker + +from .sandbox import Sandbox + + +class DockerSandbox(Sandbox): + def __init__(self, image_name, dockerfile_path=None): + super().__init__() + self.dockerfile_path = dockerfile_path or os.path.join( + os.path.dirname(__file__) + ) + self.image_name = image_name + self.client = docker.from_env() + self.container = None + + # Build the image if it does not exist + if not self._image_exists(): + self._build_image() + + def _image_exists(self): + try: + self.client.images.get(self.image_name) + return True + except docker.errors.ImageNotFound: + return False + + def _build_image(self): + print( + f"Building Docker image '{self.image_name}' from '{self.dockerfile_path}'..." + ) + self.client.images.build(path=self.dockerfile_path, tag=self.image_name) + + def start(self): + if not self.started: + self.container = self.client.containers.run( + self.image_name, command="sleep infinity", detach=True, tty=True + ) + self.started = True + + def stop(self): + if self.started and self.container: + self.container.stop() + self.container.remove() + self.container = None + self.started = False + + def extract_sql_queries_from_code(self, code): + """ + Extract SQL query strings from Python code + + Args: + code (str): Python code as a string. + + Returns: + list: List of SQL query strings found in the code. + """ + sql_queries = [] + + class SQLQueryExtractor(ast.NodeVisitor): + def visit_Assign(self, node): + # Look for assignments where SQL queries might be defined + if isinstance( + node.value, (ast.Str, ast.Constant) + ): # Python 3.8+: ast.Constant + if "SELECT" in node.value.s.upper(): + sql_queries.append(node.value.s) + self.generic_visit(node) + + def visit_Call(self, node): + # Look for function calls where SQL queries might be passed + for arg in node.args: + if isinstance( + arg, (ast.Str, ast.Constant) + ): # Python 3.8+: ast.Constant + if "SELECT" in arg.s.upper(): + sql_queries.append(arg.s) + self.generic_visit(node) + + # Parse the code into an AST and visit all nodes + tree = ast.parse(code) + SQLQueryExtractor().visit(tree) + + return sql_queries + + def _exec_code(self, code, dfs): + if not self.container: + raise RuntimeError("Container is not running.") + + sql_queries = self.extract_sql_queries_from_code(code) + + datasets_map = {} + for sql_query in sql_queries: + query_df = dfs[0].execute_sql_query(sql_query) + filename = f"{uuid.uuid4().hex}.csv" + self.pass_csv(query_df, filename=filename) + datasets_map[sql_query] = filename + + exit_code, output = self.container.exec_run( + cmd=f'python -c "{code}"', demux=True + ) + + # sql_query = "SELECT ...." + # list [] + # result = execute_sql_query("....") + # ... + # { + # ... + # } + # def execute_sql_query(sql_query): + + # return pd.read_csv(filepath) + + # result = execute_sql_query(sql_query) + # orginal + # ... + + if exit_code != 0: + raise RuntimeError(f"Error executing code: {output[1].decode()}") + return output[0].decode() + + def pass_csv(self, csv_data, filename="file.csv"): + if not self.container: + raise RuntimeError("Container is not running.") + + # Convert the DataFrame to a CSV string + csv_string = csv_data.to_csv(index=False) + + # Create a tar archive in memory + tar_stream = io.BytesIO() + with tarfile.open(fileobj=tar_stream, mode="w") as tar: + # Add the CSV string as a file in the tar archive + csv_bytes = csv_string.encode("utf-8") + tarinfo = tarfile.TarInfo(name=filename) + tarinfo.size = len(csv_bytes) + tar.addfile(tarinfo, io.BytesIO(csv_bytes)) + + # Seek to the beginning of the stream + tar_stream.seek(0) + + # Transfer the tar archive to the container + self.container.put_archive("/tmp", tar_stream) diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py new file mode 100644 index 000000000..a520911b6 --- /dev/null +++ b/pandasai/sandbox/sandbox.py @@ -0,0 +1,29 @@ +class Sandbox: + def __init__(self): + self.started = False + + def start(self): + raise NotImplementedError("The start method must be implemented by subclasses.") + + def stop(self): + raise NotImplementedError("The stop method must be implemented by subclasses.") + + def execute(self, code, dfs): + if not self.started: + self.start() + try: + result = self._exec_code(code, dfs) + finally: + self.stop() + return result + return self._exec_code(code, dfs) + + def _exec_code(self, code): + raise NotImplementedError( + "The exec_code method must be implemented by subclasses." + ) + + def pass_csv(self, csv_data): + raise NotImplementedError( + "The pass_csv method must be implemented by subclasses." + ) diff --git a/poetry.lock b/poetry.lock index a5f68c583..6a5c279bd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -407,6 +407,28 @@ files = [ {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"}, ] +[[package]] +name = "docker" +version = "7.1.0" +description = "A Python library for the Docker Engine API." +optional = false +python-versions = ">=3.8" +files = [ + {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"}, + {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"}, +] + +[package.dependencies] +pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""} +requests = ">=2.26.0" +urllib3 = ">=1.26.0" + +[package.extras] +dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"] +docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"] +ssh = ["paramiko (>=2.4.3)"] +websockets = ["websocket-client (>=1.3.0)"] + [[package]] name = "duckdb" version = "1.1.3" @@ -1290,8 +1312,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -1736,6 +1758,33 @@ files = [ {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"}, ] +[[package]] +name = "pywin32" +version = "308" +description = "Python for Window Extensions" +optional = false +python-versions = "*" +files = [ + {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"}, + {file = "pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e"}, + {file = "pywin32-308-cp310-cp310-win_arm64.whl", hash = "sha256:a5ab5381813b40f264fa3495b98af850098f814a25a63589a8e9eb12560f450c"}, + {file = "pywin32-308-cp311-cp311-win32.whl", hash = "sha256:5d8c8015b24a7d6855b1550d8e660d8daa09983c80e5daf89a273e5c6fb5095a"}, + {file = "pywin32-308-cp311-cp311-win_amd64.whl", hash = "sha256:575621b90f0dc2695fec346b2d6302faebd4f0f45c05ea29404cefe35d89442b"}, + {file = "pywin32-308-cp311-cp311-win_arm64.whl", hash = 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+ {file = "pywin32-308-cp37-cp37m-win_amd64.whl", hash = "sha256:13dcb914ed4347019fbec6697a01a0aec61019c1046c2b905410d197856326a6"}, + {file = "pywin32-308-cp38-cp38-win32.whl", hash = "sha256:5794e764ebcabf4ff08c555b31bd348c9025929371763b2183172ff4708152f0"}, + {file = "pywin32-308-cp38-cp38-win_amd64.whl", hash = "sha256:3b92622e29d651c6b783e368ba7d6722b1634b8e70bd376fd7610fe1992e19de"}, + {file = "pywin32-308-cp39-cp39-win32.whl", hash = "sha256:7873ca4dc60ab3287919881a7d4f88baee4a6e639aa6962de25a98ba6b193341"}, + {file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"}, +] + [[package]] name = "pyyaml" version = "6.0.2" @@ -2586,4 +2635,4 @@ google-sheets = ["beautifulsoup4"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.9.7 || >3.9.7,<3.12" -content-hash = "8f347a6563bfe2c9da038562f35002996495fe7e7ee1bef899ff2e93a1948a23" +content-hash = "68e9743b76c02ef7be3efda86cca72e6bf0f232513bd907e9998de0e19e1e03c" diff --git a/pyproject.toml b/pyproject.toml index 836ff0b25..dac26ccd1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,6 +26,7 @@ openpyxl = { version = "^3.0.7", optional = true } sqlglot = { extras = ["rs"], version = "^25.0.3" } transformers = "^4.45.2" typing-extensions = "^4.0.0" +docker = "^7.1.0" [tool.poetry.group.dev] optional = true diff --git a/tests/unit_tests/sandbox/test_sandbox.py b/tests/unit_tests/sandbox/test_sandbox.py new file mode 100644 index 000000000..8f332f392 --- /dev/null +++ b/tests/unit_tests/sandbox/test_sandbox.py @@ -0,0 +1,110 @@ +import unittest +from unittest.mock import MagicMock, patch + +import pandas as pd +from docker.errors import ImageNotFound + +from pandasai.sandbox.docker_sandbox import ( + DockerSandbox, +) + + +class TestDockerSandbox(unittest.TestCase): + def setUp(self): + self.image_name = "test_image" + self.dfs = [MagicMock()] + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_image_exists(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_client.images.get.return_value = True + self.assertTrue(sandbox._image_exists()) + + mock_client.images.get.side_effect = ImageNotFound("Image not found") + self.assertFalse(sandbox._image_exists()) + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_build_image(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + sandbox._build_image() + mock_client.images.build.assert_called_once_with( + path=sandbox.dockerfile_path, tag=self.image_name + ) + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_start_and_stop_container(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_client.containers = MagicMock() + mock_client.containers.run = MagicMock(return_value=MagicMock()) + + sandbox.start() + mock_client.containers.run.assert_called_once_with( + self.image_name, command="sleep infinity", detach=True, tty=True + ) + + sandbox.stop() + self.assertIsNone(sandbox.container) + + def test_extract_sql_queries_from_code(self): + sandbox = DockerSandbox(image_name=self.image_name) + code = """ +sql_query = 'SELECT COUNT(*) FROM table' +result = execute_sql_query(sql_query) + """ + queries = sandbox.extract_sql_queries_from_code(code) + self.assertEqual(queries, ["SELECT COUNT(*) FROM table"]) + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_pass_csv(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + sandbox.container = mock_container + + df = pd.DataFrame({"col1": [1, 2, 3], "col2": [4, 5, 6]}) + sandbox.pass_csv(df, filename="test.csv") + + mock_container.put_archive.assert_called() + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_exec_code(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = (0, (b"{'result': 42}", b"")) + sandbox.container = mock_container + + code = "result = {'result': 42}" + result = sandbox._exec_code(code, dfs=self.dfs) + self.assertEqual(result, "{'result': 42}") + + @patch("pandasai.sandbox.docker_sandbox.docker.from_env") + def test_exec_code_with_sql_queries(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + (b"{'type': 'number', 'value': 42}", b""), + ) + sandbox.container = mock_container + + # Mock SQL execution + mock_df = pd.DataFrame({"total_artists": [42]}) + self.dfs[0].execute_sql_query.return_value = mock_df + + code = """ +sql_query = 'SELECT COUNT(DISTINCT Artist) AS total_artists FROM artists' +total_artists_df = execute_sql_query(sql_query) +total_artists = total_artists_df['total_artists'].iloc[0] +result = {'type': 'number', 'value': total_artists} + """ + result = sandbox._exec_code(code, dfs=self.dfs) + self.assertEqual(result, "{'type': 'number', 'value': 42}") + + +if __name__ == "__main__": + unittest.main() From 3c72f5a4fc4e443fa914b7149b6b1213e685e66e Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Mon, 20 Jan 2025 16:19:52 +0100 Subject: [PATCH 02/15] feat(sandbox): add serializer and deserializer --- pandasai/agent/base.py | 6 ++ pandasai/sandbox/Dockerfile | 1 - pandasai/sandbox/__init__.py | 3 + pandasai/sandbox/docker_sandbox.py | 79 +++++++++++++++++++----- pandasai/sandbox/serializer.py | 53 ++++++++++++++++ tests/unit_tests/sandbox/test_sandbox.py | 13 ++-- 6 files changed, 133 insertions(+), 22 deletions(-) create mode 100644 pandasai/sandbox/serializer.py diff --git a/pandasai/agent/base.py b/pandasai/agent/base.py index 5350810c9..d97b40ee5 100644 --- a/pandasai/agent/base.py +++ b/pandasai/agent/base.py @@ -20,6 +20,7 @@ InvalidLLMOutputType, MissingVectorStoreError, ) +from pandasai.sandbox import Sandbox from pandasai.vectorstores.vectorstore import VectorStore from ..config import Config @@ -40,6 +41,7 @@ def __init__( memory_size: Optional[int] = 10, vectorstore: Optional[VectorStore] = None, description: str = None, + sandbox: Sandbox = None, ): """ Args: @@ -65,6 +67,7 @@ def __init__( self._code_generator = CodeGenerator(self._state) self._response_parser = ResponseParser() + self._sandbox = sandbox def chat(self, query: str, output_type: Optional[str] = None): """ @@ -101,6 +104,9 @@ def generate_code(self, query: Union[UserQuery, str]) -> str: def execute_code(self, code: str) -> dict: """Execute the generated code.""" self._state.logger.log(f"Executing code: {code}") + if self._sandbox: + return self._sandbox.execute(code) + code_executor = CodeExecutor(self._state.config) code_executor.add_to_env( "execute_sql_query", self._state.dfs[0].execute_sql_query diff --git a/pandasai/sandbox/Dockerfile b/pandasai/sandbox/Dockerfile index 9f3427966..ba7ebf0b9 100644 --- a/pandasai/sandbox/Dockerfile +++ b/pandasai/sandbox/Dockerfile @@ -1,4 +1,3 @@ -# Use the official Python 3.9 image FROM python:3.9 LABEL image_name="pandaai-sandbox" diff --git a/pandasai/sandbox/__init__.py b/pandasai/sandbox/__init__.py index e69de29bb..05ec2cc0a 100644 --- a/pandasai/sandbox/__init__.py +++ b/pandasai/sandbox/__init__.py @@ -0,0 +1,3 @@ +from .sandbox import Sandbox + +__all__ = ["Sandbox"] diff --git a/pandasai/sandbox/docker_sandbox.py b/pandasai/sandbox/docker_sandbox.py index 451870873..32a34531a 100644 --- a/pandasai/sandbox/docker_sandbox.py +++ b/pandasai/sandbox/docker_sandbox.py @@ -1,16 +1,19 @@ import ast import io +import json import os +import re import tarfile import uuid import docker +import pandas as pd from .sandbox import Sandbox class DockerSandbox(Sandbox): - def __init__(self, image_name, dockerfile_path=None): + def __init__(self, image_name="pandaai-sandbox", dockerfile_path=None): super().__init__() self.dockerfile_path = dockerfile_path or os.path.join( os.path.dirname(__file__) @@ -23,6 +26,10 @@ def __init__(self, image_name, dockerfile_path=None): if not self._image_exists(): self._build_image() + self._helper_code = self._read_start_code( + os.path.join(os.path.dirname(__file__), "serializer.py") + ) + def _image_exists(self): try: self.client.images.get(self.image_name) @@ -88,12 +95,30 @@ def visit_Call(self, node): return sql_queries + def _compile_code(self, code: str) -> str: + try: + return compile(code, "", "exec") + except SyntaxError as e: + raise SyntaxError(f"Syntax error in code: {e}") from e + + def _read_start_code(self, file_path: str) -> str: + with open(file_path, "r") as file: + return file.read() + def _exec_code(self, code, dfs): if not self.container: raise RuntimeError("Container is not running.") sql_queries = self.extract_sql_queries_from_code(code) + # check if chart replace path in the code + chart_path = "/tmp/temp_chart.png" + code = re.sub( + r"""(['"])([^'"]*\.png)\1""", + lambda m: f"{m.group(1)}{chart_path}{m.group(1)}", + code, + ) + datasets_map = {} for sql_query in sql_queries: query_df = dfs[0].execute_sql_query(sql_query) @@ -101,28 +126,46 @@ def _exec_code(self, code, dfs): self.pass_csv(query_df, filename=filename) datasets_map[sql_query] = filename + start_code = self._helper_code + + dataset_map = f""" +datasets_map = {datasets_map} + +def execute_sql_query(sql_query): + filename = datasets_map[sql_query] + filepath = os.path.join("/tmp", filename) + return pd.read_csv(filepath) +""" + end_code = """ +print(parser.serialize(result)) +""" + + code = start_code + dataset_map + code + end_code + + self._compile_code(code) + + code = code.replace('"', '\\"') + exit_code, output = self.container.exec_run( cmd=f'python -c "{code}"', demux=True ) - # sql_query = "SELECT ...." - # list [] - # result = execute_sql_query("....") - # ... - # { - # ... - # } - # def execute_sql_query(sql_query): + if exit_code != 0: + raise RuntimeError(f"Error executing code: {output[1].decode()}") - # return pd.read_csv(filepath) + response = output[0].decode() + result = json.loads(response) - # result = execute_sql_query(sql_query) - # orginal - # ... + if result["type"] == "dataframe": + result["value"] = pd.DataFrame(result["value"]) - if exit_code != 0: - raise RuntimeError(f"Error executing code: {output[1].decode()}") - return output[0].decode() + elif result["type"] == "plot": + chart_path = result["value"] + with open(chart_path, "rb") as image_file: + image_data = image_file.read() + result["value"] = image_data + + return result def pass_csv(self, csv_data, filename="file.csv"): if not self.container: @@ -145,3 +188,7 @@ def pass_csv(self, csv_data, filename="file.csv"): # Transfer the tar archive to the container self.container.put_archive("/tmp", tar_stream) + + def __del__(self): + self.container.stop() + self.container.remove() diff --git a/pandasai/sandbox/serializer.py b/pandasai/sandbox/serializer.py new file mode 100644 index 000000000..41463937f --- /dev/null +++ b/pandasai/sandbox/serializer.py @@ -0,0 +1,53 @@ +import base64 +import datetime +import json +import os # important to import +import tarfile # important to import +from json import JSONEncoder + +import numpy as np +import pandas as pd + + +class ResponseSerializer: + @staticmethod + def serialize_dataframe(df: pd.DataFrame) -> dict: + if df.empty: + return {"headers": [], "rows": []} + + json_data = df.to_dict(orient="split") + return {"headers": json_data["columns"], "rows": json_data["data"]} + + @staticmethod + def serialize(result: dict) -> str: + if result["type"] == "dataframe": + if isinstance(result["value"], pd.Series): + result["value"] = result["value"].to_frame() + result["value"] = ResponseSerializer.serialize_dataframe(result["value"]) + + elif result["type"] == "plot" and isinstance(result["value"], str): + with open(result["value"], "rb") as image_file: + image_data = image_file.read() + result["value"] = base64.b64encode(image_data).decode() + + return json.dumps(result, cls=CustomEncoder) + + +class CustomEncoder(JSONEncoder): + def default(self, obj): + if isinstance(obj, (np.integer, np.int64)): + return int(obj) + + if isinstance(obj, (np.floating, np.float64)): + return float(obj) + + if isinstance(obj, (pd.Timestamp, datetime.datetime, datetime.date)): + return obj.isoformat() + + if isinstance(obj, pd.DataFrame): + return ResponseSerializer.serialize_dataframe(obj) + + return super().default(obj) + + +parser = ResponseSerializer() diff --git a/tests/unit_tests/sandbox/test_sandbox.py b/tests/unit_tests/sandbox/test_sandbox.py index 8f332f392..2d9fdf4bf 100644 --- a/tests/unit_tests/sandbox/test_sandbox.py +++ b/tests/unit_tests/sandbox/test_sandbox.py @@ -74,12 +74,15 @@ def test_exec_code(self, mock_docker): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value mock_container = mock_client.containers.run.return_value - mock_container.exec_run.return_value = (0, (b"{'result': 42}", b"")) + mock_container.exec_run.return_value = ( + 0, + (b'{"type": "number", "value": 42}', b""), + ) sandbox.container = mock_container - code = "result = {'result': 42}" + code = 'result = {"type": "number", "value": 42}' result = sandbox._exec_code(code, dfs=self.dfs) - self.assertEqual(result, "{'result': 42}") + self.assertEqual(result, {"type": "number", "value": 42}) @patch("pandasai.sandbox.docker_sandbox.docker.from_env") def test_exec_code_with_sql_queries(self, mock_docker): @@ -88,7 +91,7 @@ def test_exec_code_with_sql_queries(self, mock_docker): mock_container = mock_client.containers.run.return_value mock_container.exec_run.return_value = ( 0, - (b"{'type': 'number', 'value': 42}", b""), + (b'{"type": "number", "value": 42}', b""), ) sandbox.container = mock_container @@ -103,7 +106,7 @@ def test_exec_code_with_sql_queries(self, mock_docker): result = {'type': 'number', 'value': total_artists} """ result = sandbox._exec_code(code, dfs=self.dfs) - self.assertEqual(result, "{'type': 'number', 'value': 42}") + self.assertEqual(result, {"type": "number", "value": 42}) if __name__ == "__main__": From b630742a9f0273bb5c0c783b42d7e49b6bb12442 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 12:31:39 +0100 Subject: [PATCH 03/15] feat(dockerSandbox): complete implementation of docker sandbox --- examples/docker_sandbox.py | 31 + extensions/sandbox/docker/README.md | 9 + .../docker/pandasai_docker}/Dockerfile | 0 .../docker/pandasai_docker/__init__.py | 3 + .../docker/pandasai_docker/docker_sandbox.py | 188 ++ .../docker/pandasai_docker}/serializer.py | 28 +- extensions/sandbox/docker/poetry.lock | 1792 +++++++++++++++++ extensions/sandbox/docker/pyproject.toml | 16 + .../sandbox/docker/tests/test_sandbox.py | 258 +++ .../sandbox/docker/tests/test_serializer.py | 90 + pandasai/agent/base.py | 6 +- pandasai/core/code_execution/code_executor.py | 4 + pandasai/sandbox/docker_sandbox.py | 194 -- pandasai/sandbox/sandbox.py | 77 +- poetry.lock | 53 +- pyproject.toml | 1 - tests/unit_tests/sandbox/test_sandbox.py | 186 +- 17 files changed, 2575 insertions(+), 361 deletions(-) create mode 100644 examples/docker_sandbox.py create mode 100644 extensions/sandbox/docker/README.md rename {pandasai/sandbox => extensions/sandbox/docker/pandasai_docker}/Dockerfile (100%) create mode 100644 extensions/sandbox/docker/pandasai_docker/__init__.py create mode 100644 extensions/sandbox/docker/pandasai_docker/docker_sandbox.py rename {pandasai/sandbox => extensions/sandbox/docker/pandasai_docker}/serializer.py (63%) create mode 100644 extensions/sandbox/docker/poetry.lock create mode 100644 extensions/sandbox/docker/pyproject.toml create mode 100644 extensions/sandbox/docker/tests/test_sandbox.py create mode 100644 extensions/sandbox/docker/tests/test_serializer.py delete mode 100644 pandasai/sandbox/docker_sandbox.py diff --git a/examples/docker_sandbox.py b/examples/docker_sandbox.py new file mode 100644 index 000000000..bb9aac905 --- /dev/null +++ b/examples/docker_sandbox.py @@ -0,0 +1,31 @@ +# Intall pandasai docker using +# pip install pandasai-docker +from pandasai_docker import DockerSandbox +from pandasai_openai.openai import OpenAI + +import pandasai as pai + +llm = OpenAI(api_token="sk-*******") + +pai.config.set({"llm": llm}) + +df = pai.read_csv("/Users/arslan/Documents/SinapTik/pandas-ai/artists.csv") + + +sandbox = DockerSandbox() +agent = Agent([df], memory_size=10, sandbox=sandbox) +# Chat with the Agent +response = agent.chat("plot top five artists streams") + +# destroy container after usage or let class destructor destroys it. +sanbox.stop() + + +# Use custom docker image +sandbox = DockerSandbox("pandaai-sandbox", "/path/to/Dockerfile") +agent = Agent([df], memory_size=10, sandbox=sandbox) +# Chat with the Agent +response = agent.chat("plot top five artists streams") + +# destroy container after usage or let class destructor destroys it. +sandbox.stop() diff --git a/extensions/sandbox/docker/README.md b/extensions/sandbox/docker/README.md new file mode 100644 index 000000000..edbc9c831 --- /dev/null +++ b/extensions/sandbox/docker/README.md @@ -0,0 +1,9 @@ +# Docker Sandbox Extension for PandasAI + +## Installation + +You can install this extension using poetry: + +```bash +poetry install pandasai-docker +``` diff --git a/pandasai/sandbox/Dockerfile b/extensions/sandbox/docker/pandasai_docker/Dockerfile similarity index 100% rename from pandasai/sandbox/Dockerfile rename to extensions/sandbox/docker/pandasai_docker/Dockerfile diff --git a/extensions/sandbox/docker/pandasai_docker/__init__.py b/extensions/sandbox/docker/pandasai_docker/__init__.py new file mode 100644 index 000000000..70529fff0 --- /dev/null +++ b/extensions/sandbox/docker/pandasai_docker/__init__.py @@ -0,0 +1,3 @@ +from .docker_sandbox import DockerSandbox + +__all__ = ["DockerSandbox"] diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py new file mode 100644 index 000000000..8a49ba2de --- /dev/null +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -0,0 +1,188 @@ +import io +import logging +import os +import re +import tarfile +import uuid +from typing import Optional + +import docker + +from pandasai.sandbox import Sandbox + +from .serializer import ResponseSerializer + +logger = logging.getLogger(__name__) + + +class DockerSandbox(Sandbox): + def __init__(self, image_name="pandaai-sandbox", dockerfile_path=None): + super().__init__() + self._dockerfile_path: str = dockerfile_path or os.path.join( + os.path.dirname(__file__), "Dockerfile" + ) + self._image_name: str = image_name + self._client: docker.DockerClient = docker.from_env() + self._container: Optional[docker.models.containers.Container] = None + + # Build the image if it does not exist + if not self._image_exists(): + self._build_image() + + self._helper_code: str = self._read_start_code( + os.path.join(os.path.dirname(__file__), "serializer.py") + ) + + def _image_exists(self) -> bool: + try: + self._client.images.get(self._image_name) + return True + except docker.errors.ImageNotFound: + return False + + def _build_image(self) -> None: + logger.info( + f"Building Docker image '{self._image_name}' from '{self._dockerfile_path}'..." + ) + with open(self._dockerfile_path, "rb") as file: + self._client.images.build(fileobj=file, tag=self._image_name) + + def start(self): + if not self._started: + logger.info( + f"Starting a Docker container from the image '{self._image_name}'" + ) + self._container = self._client.containers.run( + self._image_name, command="sleep infinity", detach=True, tty=True + ) + logger.info( + f"Started a Docker container with id '{self._container.id}' from the image '{self._image_name}'" + ) + self._started = True + + def stop(self) -> None: + if self._started and self._container: + logger.info(f"Stopping a Docker container with id '{self._container.id}''") + self._container.stop() + self._container.remove() + self._container = None + self._started = False + + def _read_start_code(self, file_path: str) -> str: + """Read helper start code from a file as a string. + + Args: + file_path (str): Path to the file. + + Returns: + str: Code as a string. + """ + with open(file_path, "r") as file: + return file.read() + + def _exec_code(self, code: str, enviroment: dict) -> dict: + """Execute Python code in a Docker container. + + Args: + code (str): Code to execute. + enviroment (dict): Environment variables to pass to the container. + + Returns: + dict: Result of the code execution. + """ + if not self._container: + raise RuntimeError("Container is not running.") + + sql_queries = self._extract_sql_queries_from_code(code) + + # Temporary chart storage path + chart_path = "/tmp/temp_chart.png" + # actual chart path + original_chart_path = None + + if png_paths := re.findall(r"'([^']+\.png)'", code): + original_chart_path = png_paths[0] + + # update chart path + code = re.sub( + r"""(['"])([^'"]*\.png)\1""", + lambda m: f"{m.group(1)}{chart_path}{m.group(1)}", + code, + ) + + # Execute SQL queries, save the query results to CSV files + datasets_map = {} + for sql_query in sql_queries: + execute_sql_query_func = enviroment.get("execute_sql_query") + if execute_sql_query_func is None: + raise RuntimeError( + "execute_sql_query function is not defined in the environment." + ) + + query_df = execute_sql_query_func(sql_query) + filename = f"{uuid.uuid4().hex}.csv" + # Pass the files to the container for further processing + self.pass_csv(query_df, filename=filename) + datasets_map[sql_query] = filename + + # Add the datasets_map variable to the code + dataset_map = f""" +datasets_map = {datasets_map} + +def execute_sql_query(sql_query): + filename = datasets_map[sql_query] + filepath = os.path.join("/tmp", filename) + return pd.read_csv(filepath) + +""" + # serialization code to get output from docker + end_code = """ +print(parser.serialize(result)) +""" + # Concatenate code and helper code + code = self._helper_code + dataset_map + code + end_code + + # Compile the code for errors + self._compile_code(code) + + # Replace double quotes with escaped double quotes for command line code arguments + code = code.replace('"', '\\"') + + logger.info(f"Submitting code to docker container {code}") + + exit_code, output = self._container.exec_run( + cmd=f'python -c "{code}"', demux=True + ) + + if exit_code != 0: + raise RuntimeError(f"Error executing code: {output[1].decode()}") + + response = output[0].decode() + return ResponseSerializer.deserialize(response, original_chart_path) + + def pass_csv(self, csv_data, filename="file.csv") -> None: + if not self._container: + raise RuntimeError("Container is not running.") + + # Convert the DataFrame to a CSV string + csv_string = csv_data.to_csv(index=False) + + # Create a tar archive in memory + tar_stream = io.BytesIO() + with tarfile.open(fileobj=tar_stream, mode="w") as tar: + # Add the CSV string as a file in the tar archive + csv_bytes = csv_string.encode("utf-8") + tarinfo = tarfile.TarInfo(name=filename) + tarinfo.size = len(csv_bytes) + tar.addfile(tarinfo, io.BytesIO(csv_bytes)) + + # Seek to the beginning of the stream + tar_stream.seek(0) + + # Transfer the tar archive to the container + self._container.put_archive("/tmp", tar_stream) + + def __del__(self) -> None: + if self._container: + self._container.stop() + self._container.remove() diff --git a/pandasai/sandbox/serializer.py b/extensions/sandbox/docker/pandasai_docker/serializer.py similarity index 63% rename from pandasai/sandbox/serializer.py rename to extensions/sandbox/docker/pandasai_docker/serializer.py index 41463937f..8ebe4292d 100644 --- a/pandasai/sandbox/serializer.py +++ b/extensions/sandbox/docker/pandasai_docker/serializer.py @@ -13,10 +13,8 @@ class ResponseSerializer: @staticmethod def serialize_dataframe(df: pd.DataFrame) -> dict: if df.empty: - return {"headers": [], "rows": []} - - json_data = df.to_dict(orient="split") - return {"headers": json_data["columns"], "rows": json_data["data"]} + return {"columns": [], "data": [], "index": []} + return df.to_dict(orient="split") @staticmethod def serialize(result: dict) -> str: @@ -32,6 +30,28 @@ def serialize(result: dict) -> str: return json.dumps(result, cls=CustomEncoder) + @staticmethod + def deserialize(response: str, chart_path: str = None) -> dict: + result = json.loads(response) + if result["type"] == "dataframe": + json_data = result["value"] + result["value"] = pd.DataFrame( + data=json_data["data"], + index=json_data["index"], + columns=json_data["columns"], + ) + + elif result["type"] == "plot" and chart_path: + image_data = base64.b64decode(result["value"]) + + # Write the binary data to a file + with open(chart_path, "wb") as image_file: + image_file.write(image_data) + + result["value"] = chart_path + + return result + class CustomEncoder(JSONEncoder): def default(self, obj): diff --git a/extensions/sandbox/docker/poetry.lock b/extensions/sandbox/docker/poetry.lock new file mode 100644 index 000000000..c7effb045 --- /dev/null +++ b/extensions/sandbox/docker/poetry.lock @@ -0,0 +1,1792 @@ +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = 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+[[package]] +name = "zipp" +version = "3.21.0" +description = "Backport of pathlib-compatible object wrapper for zip files" +optional = false +python-versions = ">=3.9" +files = [ + {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, + {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.9,<4.0" +content-hash = "fc42b9a5ff1c4f7868f1f2ea5eb610f98b82da5f8387ba1b13b0c5cca3f2f72a" diff --git a/extensions/sandbox/docker/pyproject.toml b/extensions/sandbox/docker/pyproject.toml new file mode 100644 index 000000000..54692d903 --- /dev/null +++ b/extensions/sandbox/docker/pyproject.toml @@ -0,0 +1,16 @@ +[tool.poetry] +name = "pandasai-docker" +version = "0.1.0" +description = "" +authors = ["ArslanSaleem "] +readme = "README.md" + +[tool.poetry.dependencies] +python = ">=3.9,<4.0" +pandasai = ">=3.0.0a0" +numpy = ">=1.23.2,<2.0.0" +docker = "^7.1.0" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/extensions/sandbox/docker/tests/test_sandbox.py b/extensions/sandbox/docker/tests/test_sandbox.py new file mode 100644 index 000000000..1f8aefc60 --- /dev/null +++ b/extensions/sandbox/docker/tests/test_sandbox.py @@ -0,0 +1,258 @@ +import unittest +from io import BytesIO +from unittest.mock import MagicMock, mock_open, patch + +import pandas as pd +from docker.errors import ImageNotFound +from pandasai_docker import DockerSandbox + + +class TestDockerSandbox(unittest.TestCase): + def setUp(self): + self.image_name = "test_image" + self.dfs = [MagicMock()] + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_destructor(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + sandbox._container = mock_container + + del sandbox + mock_container.stop.assert_called_once() + mock_container.remove.assert_called_once() + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_image_exists(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_client.images.get.return_value = True + self.assertTrue(sandbox._image_exists()) + + mock_client.images.get.side_effect = ImageNotFound("Image not found") + self.assertFalse(sandbox._image_exists()) + + @patch("builtins.open") + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_build_image(self, mock_docker, mock_open): + # Create a single BytesIO object to mock the file content + mock_file = MagicMock(spec=BytesIO) + mock_file.__enter__.return_value = BytesIO(b"FROM python:3.9") + mock_file.__exit__.return_value = None + mock_open.return_value = mock_file + + # Arrange + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + dockerfile_path = sandbox._dockerfile_path + image_name = self.image_name + + # Act + sandbox._build_image() + + # Create the expected fileobj (using the same object reference) + expected_fileobj = mock_file.__enter__.return_value + + # Assert + mock_client.images.build.assert_called_once_with( + fileobj=expected_fileobj, tag=image_name + ) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_start_and_stop_container(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_client.containers = MagicMock() + mock_client.containers.run = MagicMock(return_value=MagicMock()) + + sandbox.start() + mock_client.containers.run.assert_called_once_with( + self.image_name, command="sleep infinity", detach=True, tty=True + ) + + sandbox.stop() + self.assertIsNone(sandbox._container) + + def test_extract_sql_queries_from_code(self): + sandbox = DockerSandbox(image_name=self.image_name) + code = """ +sql_query = 'SELECT COUNT(*) FROM table' +result = execute_sql_query(sql_query) + """ + queries = sandbox._extract_sql_queries_from_code(code) + self.assertEqual(queries, ["SELECT COUNT(*) FROM table"]) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_pass_csv(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + sandbox._container = mock_container + + df = pd.DataFrame({"col1": [1, 2, 3], "col2": [4, 5, 6]}) + sandbox.pass_csv(df, filename="test.csv") + + mock_container.put_archive.assert_called() + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + def test_exec_code(self, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + (b'{"type": "number", "value": 42}', b""), + ) + sandbox._container = mock_container + + mock_execute_sql_func = MagicMock() + env = {"execute_sql_query": mock_execute_sql_func} + + code = 'result = {"type": "number", "value": 42}' + result = sandbox._exec_code(code, env) + self.assertEqual(result, {"type": "number", "value": 42}) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + def test_exec_code_with_sql_queries(self, mock_pass_csv, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + (b'{"type": "number", "value": 42}', b""), + ) + sandbox._container = mock_container + + # Mock SQL execution + mock_execute_sql_func = MagicMock() + env = {"execute_sql_query": mock_execute_sql_func} + + code = """ +sql_query = 'SELECT COUNT(DISTINCT Artist) AS total_artists FROM artists' +total_artists_df = execute_sql_query(sql_query) +total_artists = total_artists_df['total_artists'].iloc[0] +result = {'type': 'number', 'value': total_artists} + """ + result = sandbox._exec_code(code, env) + self.assertEqual(result, {"type": "number", "value": 42}) + mock_execute_sql_func.assert_called_once_with( + "SELECT COUNT(DISTINCT Artist) AS total_artists FROM artists" + ) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + def test_exec_code_with_sql_queries_raise_no_env(self, mock_pass_csv, mock_docker): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + (b'{"type": "number", "value": 42}', b""), + ) + sandbox._container = mock_container + + # Mock SQL execution + env = {} + + code = """ +sql_query = 'SELECT COUNT(DISTINCT Artist) AS total_artists FROM artists' +total_artists_df = execute_sql_query(sql_query) +total_artists = total_artists_df['total_artists'].iloc[0] +result = {'type': 'number', 'value': total_artists} + """ + with self.assertRaises(RuntimeError): + sandbox._exec_code(code, env) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + @patch("pandasai_docker.docker_sandbox.ResponseSerializer.deserialize") + def test_exec_code_with_sql_queries_with_plot( + self, mock_deserialize, mock_pass_csv, mock_docker + ): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + (b'{"type": "plot", "value": "base64img"}', b""), + ) + sandbox._container = mock_container + + # Mock SQL execution + mock_execute_sql_func = MagicMock() + env = {"execute_sql_query": mock_execute_sql_func} + + code = """ +import pandas as pd +import matplotlib.pyplot as plt +sql_query = \"\"\" +SELECT Artist, Streams +FROM table_artists +ORDER BY CAST(REPLACE(Streams, ',', '') AS FLOAT) DESC +LIMIT 5 +\"\"\" +top_artists_df = execute_sql_query(sql_query) +top_artists_df['Streams'] = top_artists_df['Streams'].str.replace(',', '').astype(float) +plt.figure(figsize=(10, 6)) +plt.barh(top_artists_df['Artist'], top_artists_df['Streams'], color='skyblue') +plt.xlabel('Streams (in millions)') +plt.title('Top Five Artists by Streams') +plt.gca().invert_yaxis() +plt.tight_layout() +plt.savefig('/exports/charts/temp_chart.png') +result = {'type': 'plot', 'value': '/exports/charts/temp_chart.png'} + """ + result = sandbox._exec_code(code, env) + + assert result is not None + mock_deserialize.assert_called_once_with( + '{"type": "plot", "value": "base64img"}', "/exports/charts/temp_chart.png" + ) + + @patch("pandasai_docker.docker_sandbox.docker.from_env") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + @patch("pandasai_docker.docker_sandbox.ResponseSerializer.deserialize") + def test_exec_code_with_sql_queries_with_dataframe( + self, mock_deserialize, mock_pass_csv, mock_docker + ): + sandbox = DockerSandbox(image_name=self.image_name) + mock_client = mock_docker.return_value + mock_container = mock_client.containers.run.return_value + mock_container.exec_run.return_value = ( + 0, + ( + b'{"type": "dataframe", "value": {"columns": [], "data": [], "index": []}}', + b"", + ), + ) + sandbox._container = mock_container + + # Mock SQL execution + mock_execute_sql_func = MagicMock() + env = {"execute_sql_query": mock_execute_sql_func} + + code = """ +import pandas as pd +import matplotlib.pyplot as plt +sql_query = \"\"\" +SELECT Artist, Streams +FROM table_artists +ORDER BY CAST(REPLACE(Streams, ',', '') AS FLOAT) DESC +LIMIT 5 +\"\"\" +top_artists_df = execute_sql_query(sql_query) +result = {'type': 'dataframe', 'value': top_artists_df} + """ + result = sandbox._exec_code(code, env) + + assert result is not None + mock_deserialize.assert_called_once_with( + '{"type": "dataframe", "value": {"columns": [], "data": [], "index": []}}', + None, + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/extensions/sandbox/docker/tests/test_serializer.py b/extensions/sandbox/docker/tests/test_serializer.py new file mode 100644 index 000000000..8592a1f7f --- /dev/null +++ b/extensions/sandbox/docker/tests/test_serializer.py @@ -0,0 +1,90 @@ +import base64 +import datetime +import json +import os +import unittest +from unittest.mock import mock_open, patch + +import numpy as np +import pandas as pd +from pandasai_docker.serializer import CustomEncoder, ResponseSerializer + + +class TestResponseSerializer(unittest.TestCase): + def test_serialize_dataframe_empty(self): + df = pd.DataFrame() + result = ResponseSerializer.serialize_dataframe(df) + self.assertEqual(result, {"columns": [], "data": [], "index": []}) + + def test_serialize_dataframe_non_empty(self): + df = pd.DataFrame({"A": [1, 2], "B": [3, 4]}) + result = ResponseSerializer.serialize_dataframe(df) + expected = {"columns": ["A", "B"], "data": [[1, 3], [2, 4]], "index": [0, 1]} + self.assertEqual(result, expected) + + @patch("builtins.open", new_callable=mock_open, read_data=b"image_data") + @patch("base64.b64encode", return_value=b"encoded_image") + def test_serialize_plot(self, mock_b64encode, mock_open_file): + result = {"type": "plot", "value": "path/to/image.png"} + serialized = ResponseSerializer.serialize(result) + expected = {"type": "plot", "value": "encoded_image"} + self.assertEqual(json.loads(serialized), expected) + mock_open_file.assert_called_once_with("path/to/image.png", "rb") + mock_b64encode.assert_called_once_with(b"image_data") + + def test_serialize_dataframe_type(self): + df = pd.DataFrame({"A": [1, 2], "B": [3, 4]}) + result = {"type": "dataframe", "value": df} + serialized = ResponseSerializer.serialize(result) + deserialized = json.loads(serialized) + self.assertEqual(deserialized["type"], "dataframe") + self.assertEqual( + deserialized["value"], ResponseSerializer.serialize_dataframe(df) + ) + + def test_deserialize_dataframe(self): + response = { + "type": "dataframe", + "value": {"columns": ["A", "B"], "data": [[1, 3], [2, 4]], "index": [0, 1]}, + } + serialized = json.dumps(response) + result = ResponseSerializer.deserialize(serialized) + expected_df = pd.DataFrame({"A": [1, 2], "B": [3, 4]}) + pd.testing.assert_frame_equal(result["value"], expected_df) + + @patch("builtins.open", new_callable=mock_open) + @patch("base64.b64decode", return_value=b"image_data") + def test_deserialize_plot(self, mock_b64decode, mock_open_file): + response = {"type": "plot", "value": base64.b64encode(b"image_data").decode()} + serialized = json.dumps(response) + chart_path = "path/to/output.png" + result = ResponseSerializer.deserialize(serialized, chart_path=chart_path) + self.assertEqual(result["value"], chart_path) + mock_b64decode.assert_called_once_with(response["value"]) + mock_open_file.assert_called_once_with(chart_path, "wb") + mock_open_file().write.assert_called_once_with(b"image_data") + + +class TestCustomEncoder(unittest.TestCase): + def test_encode_numpy(self): + data = {"int": np.int64(42), "float": np.float64(3.14)} + encoded = json.dumps(data, cls=CustomEncoder) + self.assertEqual(json.loads(encoded), {"int": 42, "float": 3.14}) + + def test_encode_datetime(self): + now = datetime.datetime.now() + data = {"timestamp": now} + encoded = json.dumps(data, cls=CustomEncoder) + self.assertEqual(json.loads(encoded), {"timestamp": now.isoformat()}) + + def test_encode_dataframe(self): + df = pd.DataFrame({"A": [1, 2], "B": [3, 4]}) + data = {"df": df} + encoded = json.dumps(data, cls=CustomEncoder) + self.assertEqual( + json.loads(encoded)["df"], ResponseSerializer.serialize_dataframe(df) + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/pandasai/agent/base.py b/pandasai/agent/base.py index d00d38ab2..ddbfc1668 100644 --- a/pandasai/agent/base.py +++ b/pandasai/agent/base.py @@ -108,11 +108,13 @@ def generate_code(self, query: Union[UserQuery, str]) -> str: def execute_code(self, code: str) -> dict: """Execute the generated code.""" self._state.logger.log(f"Executing code: {code}") - if self._sandbox: - return self._sandbox.execute(code) code_executor = CodeExecutor(self._state.config) code_executor.add_to_env("execute_sql_query", self._execute_sql_query) + + if self._sandbox: + return self._sandbox.execute(code, code_executor.environment) + return code_executor.execute_and_return_result(code) def _execute_local_sql_query(self, query: str) -> pd.DataFrame: diff --git a/pandasai/core/code_execution/code_executor.py b/pandasai/core/code_execution/code_executor.py index a72545479..b158ea8be 100644 --- a/pandasai/core/code_execution/code_executor.py +++ b/pandasai/core/code_execution/code_executor.py @@ -42,3 +42,7 @@ def execute_and_return_result(self, code: str) -> Any: raise NoResultFoundError("No result returned") return self._environment.get("result", None) + + @property + def environment(self) -> dict: + return self._environment diff --git a/pandasai/sandbox/docker_sandbox.py b/pandasai/sandbox/docker_sandbox.py deleted file mode 100644 index 32a34531a..000000000 --- a/pandasai/sandbox/docker_sandbox.py +++ /dev/null @@ -1,194 +0,0 @@ -import ast -import io -import json -import os -import re -import tarfile -import uuid - -import docker -import pandas as pd - -from .sandbox import Sandbox - - -class DockerSandbox(Sandbox): - def __init__(self, image_name="pandaai-sandbox", dockerfile_path=None): - super().__init__() - self.dockerfile_path = dockerfile_path or os.path.join( - os.path.dirname(__file__) - ) - self.image_name = image_name - self.client = docker.from_env() - self.container = None - - # Build the image if it does not exist - if not self._image_exists(): - self._build_image() - - self._helper_code = self._read_start_code( - os.path.join(os.path.dirname(__file__), "serializer.py") - ) - - def _image_exists(self): - try: - self.client.images.get(self.image_name) - return True - except docker.errors.ImageNotFound: - return False - - def _build_image(self): - print( - f"Building Docker image '{self.image_name}' from '{self.dockerfile_path}'..." - ) - self.client.images.build(path=self.dockerfile_path, tag=self.image_name) - - def start(self): - if not self.started: - self.container = self.client.containers.run( - self.image_name, command="sleep infinity", detach=True, tty=True - ) - self.started = True - - def stop(self): - if self.started and self.container: - self.container.stop() - self.container.remove() - self.container = None - self.started = False - - def extract_sql_queries_from_code(self, code): - """ - Extract SQL query strings from Python code - - Args: - code (str): Python code as a string. - - Returns: - list: List of SQL query strings found in the code. - """ - sql_queries = [] - - class SQLQueryExtractor(ast.NodeVisitor): - def visit_Assign(self, node): - # Look for assignments where SQL queries might be defined - if isinstance( - node.value, (ast.Str, ast.Constant) - ): # Python 3.8+: ast.Constant - if "SELECT" in node.value.s.upper(): - sql_queries.append(node.value.s) - self.generic_visit(node) - - def visit_Call(self, node): - # Look for function calls where SQL queries might be passed - for arg in node.args: - if isinstance( - arg, (ast.Str, ast.Constant) - ): # Python 3.8+: ast.Constant - if "SELECT" in arg.s.upper(): - sql_queries.append(arg.s) - self.generic_visit(node) - - # Parse the code into an AST and visit all nodes - tree = ast.parse(code) - SQLQueryExtractor().visit(tree) - - return sql_queries - - def _compile_code(self, code: str) -> str: - try: - return compile(code, "", "exec") - except SyntaxError as e: - raise SyntaxError(f"Syntax error in code: {e}") from e - - def _read_start_code(self, file_path: str) -> str: - with open(file_path, "r") as file: - return file.read() - - def _exec_code(self, code, dfs): - if not self.container: - raise RuntimeError("Container is not running.") - - sql_queries = self.extract_sql_queries_from_code(code) - - # check if chart replace path in the code - chart_path = "/tmp/temp_chart.png" - code = re.sub( - r"""(['"])([^'"]*\.png)\1""", - lambda m: f"{m.group(1)}{chart_path}{m.group(1)}", - code, - ) - - datasets_map = {} - for sql_query in sql_queries: - query_df = dfs[0].execute_sql_query(sql_query) - filename = f"{uuid.uuid4().hex}.csv" - self.pass_csv(query_df, filename=filename) - datasets_map[sql_query] = filename - - start_code = self._helper_code - - dataset_map = f""" -datasets_map = {datasets_map} - -def execute_sql_query(sql_query): - filename = datasets_map[sql_query] - filepath = os.path.join("/tmp", filename) - return pd.read_csv(filepath) -""" - end_code = """ -print(parser.serialize(result)) -""" - - code = start_code + dataset_map + code + end_code - - self._compile_code(code) - - code = code.replace('"', '\\"') - - exit_code, output = self.container.exec_run( - cmd=f'python -c "{code}"', demux=True - ) - - if exit_code != 0: - raise RuntimeError(f"Error executing code: {output[1].decode()}") - - response = output[0].decode() - result = json.loads(response) - - if result["type"] == "dataframe": - result["value"] = pd.DataFrame(result["value"]) - - elif result["type"] == "plot": - chart_path = result["value"] - with open(chart_path, "rb") as image_file: - image_data = image_file.read() - result["value"] = image_data - - return result - - def pass_csv(self, csv_data, filename="file.csv"): - if not self.container: - raise RuntimeError("Container is not running.") - - # Convert the DataFrame to a CSV string - csv_string = csv_data.to_csv(index=False) - - # Create a tar archive in memory - tar_stream = io.BytesIO() - with tarfile.open(fileobj=tar_stream, mode="w") as tar: - # Add the CSV string as a file in the tar archive - csv_bytes = csv_string.encode("utf-8") - tarinfo = tarfile.TarInfo(name=filename) - tarinfo.size = len(csv_bytes) - tar.addfile(tarinfo, io.BytesIO(csv_bytes)) - - # Seek to the beginning of the stream - tar_stream.seek(0) - - # Transfer the tar archive to the container - self.container.put_archive("/tmp", tar_stream) - - def __del__(self): - self.container.stop() - self.container.remove() diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py index a520911b6..99d5ecca4 100644 --- a/pandasai/sandbox/sandbox.py +++ b/pandasai/sandbox/sandbox.py @@ -1,6 +1,9 @@ +import ast + + class Sandbox: def __init__(self): - self.started = False + self._started: bool = False def start(self): raise NotImplementedError("The start method must be implemented by subclasses.") @@ -8,17 +11,14 @@ def start(self): def stop(self): raise NotImplementedError("The stop method must be implemented by subclasses.") - def execute(self, code, dfs): - if not self.started: + def execute(self, code: str, enviroment: dict) -> dict: + if not self._started: self.start() - try: - result = self._exec_code(code, dfs) - finally: - self.stop() - return result - return self._exec_code(code, dfs) - - def _exec_code(self, code): + return self._exec_code(code, enviroment) + + return self._exec_code(code, enviroment) + + def _exec_code(self, code: str, enviroment: dict) -> dict: raise NotImplementedError( "The exec_code method must be implemented by subclasses." ) @@ -27,3 +27,58 @@ def pass_csv(self, csv_data): raise NotImplementedError( "The pass_csv method must be implemented by subclasses." ) + + def _extract_sql_queries_from_code(self, code) -> list[str]: + """ + Extract SQL query strings from Python code + + Args: + code (str): Python code as a string. + + Returns: + list: List of SQL query strings found in the code. + """ + sql_queries = [] + + class SQLQueryExtractor(ast.NodeVisitor): + def visit_Assign(self, node): + # Look for assignments where SQL queries might be defined + if isinstance( + node.value, (ast.Str, ast.Constant) + ): # Python 3.8+: ast.Constant + if "SELECT" in node.value.s.upper(): + sql_queries.append(node.value.s) + self.generic_visit(node) + + def visit_Call(self, node): + # Look for function calls where SQL queries might be passed + for arg in node.args: + if isinstance( + arg, (ast.Str, ast.Constant) + ): # Python 3.8+: ast.Constant + if "SELECT" in arg.s.upper(): + sql_queries.append(arg.s) + self.generic_visit(node) + + # Parse the code into an AST and visit all nodes + tree = ast.parse(code) + SQLQueryExtractor().visit(tree) + + return sql_queries + + def _compile_code(self, code: str) -> str: + """Compile code as a Python module + + Args: + code (str): Code as a string to compile. + + Raises: + SyntaxError: If the code contains syntax errors. + + Returns: + str: Compiled code as a string. + """ + try: + return compile(code, "", "exec") + except SyntaxError as e: + raise SyntaxError(f"Syntax error in code: {e}") from e diff --git a/poetry.lock b/poetry.lock index 8abe69ac3..885be324b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -407,28 +407,6 @@ files = [ {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"}, ] -[[package]] -name = "docker" -version = "7.1.0" -description = "A Python library for the Docker Engine API." -optional = false -python-versions = ">=3.8" -files = [ - {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"}, - {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"}, -] - -[package.dependencies] -pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""} -requests = ">=2.26.0" -urllib3 = ">=1.26.0" - -[package.extras] -dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"] -docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"] -ssh = ["paramiko (>=2.4.3)"] -websockets = ["websocket-client (>=1.3.0)"] - [[package]] name = "duckdb" version = "1.1.3" @@ -1312,8 +1290,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -1758,33 +1736,6 @@ files = [ {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"}, ] -[[package]] -name = "pywin32" -version = "308" -description = "Python for Window Extensions" -optional = false -python-versions = "*" -files = [ - {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"}, - {file = "pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e"}, - {file = "pywin32-308-cp310-cp310-win_arm64.whl", hash = "sha256:a5ab5381813b40f264fa3495b98af850098f814a25a63589a8e9eb12560f450c"}, - {file = "pywin32-308-cp311-cp311-win32.whl", hash = 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[[package]] name = "pyyaml" version = "6.0.2" @@ -2635,4 +2586,4 @@ google-sheets = ["beautifulsoup4"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.9.7 || >3.9.7,<3.12" -content-hash = "cd14b166406afd64ae1283d257eb0a8189bda65d2168672dd71d80acb2752653" +content-hash = "e38e80e80e361d2c702d5c033756e24f92716f21d83f8c0a11274b268987062f" diff --git a/pyproject.toml b/pyproject.toml index 9fd5c9ca5..042f9061b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,7 +26,6 @@ openpyxl = { version = "^3.0.7", optional = true } sqlglot = { extras = ["rs"], version = "^25.0.3" } transformers = "^4.45.2" typing-extensions = "^4.0.0" -docker = "^7.1.0" [tool.poetry.group.dev] optional = true diff --git a/tests/unit_tests/sandbox/test_sandbox.py b/tests/unit_tests/sandbox/test_sandbox.py index 2d9fdf4bf..8fd2fc110 100644 --- a/tests/unit_tests/sandbox/test_sandbox.py +++ b/tests/unit_tests/sandbox/test_sandbox.py @@ -1,112 +1,102 @@ import unittest from unittest.mock import MagicMock, patch -import pandas as pd -from docker.errors import ImageNotFound +from pandasai.sandbox import Sandbox -from pandasai.sandbox.docker_sandbox import ( - DockerSandbox, -) - -class TestDockerSandbox(unittest.TestCase): +class TestSandbox(unittest.TestCase): def setUp(self): - self.image_name = "test_image" - self.dfs = [MagicMock()] - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_image_exists(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - mock_client.images.get.return_value = True - self.assertTrue(sandbox._image_exists()) - - mock_client.images.get.side_effect = ImageNotFound("Image not found") - self.assertFalse(sandbox._image_exists()) - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_build_image(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - sandbox._build_image() - mock_client.images.build.assert_called_once_with( - path=sandbox.dockerfile_path, tag=self.image_name - ) - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_start_and_stop_container(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - mock_client.containers = MagicMock() - mock_client.containers.run = MagicMock(return_value=MagicMock()) - - sandbox.start() - mock_client.containers.run.assert_called_once_with( - self.image_name, command="sleep infinity", detach=True, tty=True - ) - - sandbox.stop() - self.assertIsNone(sandbox.container) - - def test_extract_sql_queries_from_code(self): - sandbox = DockerSandbox(image_name=self.image_name) + class SandboxImpl(Sandbox): + def start(self): + self._started = True + + def stop(self): + self._started = False + + def _exec_code(self, code: str, environment: dict) -> dict: + exec_globals = environment.copy() + exec(code, exec_globals) + return exec_globals + + def pass_csv(self, csv_data): + return f"Processed CSV: {csv_data}" + + self.sandbox = SandboxImpl() + + def test_start(self): + self.assertFalse(self.sandbox._started) + self.sandbox.start() + self.assertTrue(self.sandbox._started) + + def test_stop(self): + self.sandbox.start() + self.assertTrue(self.sandbox._started) + self.sandbox.stop() + self.assertFalse(self.sandbox._started) + + def test_execute_calls_start_if_not_started(self): + code = "a = 10" + environment = {} + result = self.sandbox.execute(code, environment) + self.assertIn("a", result) + self.assertEqual(result["a"], 10) + self.assertTrue(self.sandbox._started) + + def test_execute_does_not_call_start_if_already_started(self): + code = "a = 20" + environment = {} + self.sandbox.start() + with patch.object( + self.sandbox, "start", wraps=self.sandbox.start + ) as mock_start: + result = self.sandbox.execute(code, environment) + mock_start.assert_not_called() + self.assertIn("a", result) + self.assertEqual(result["a"], 20) + + def test_pass_csv(self): + result = self.sandbox.pass_csv("sample_data") + self.assertEqual(result, "Processed CSV: sample_data") + + def test_extract_sql_queries(self): code = """ -sql_query = 'SELECT COUNT(*) FROM table' -result = execute_sql_query(sql_query) +query = "SELECT * FROM users" +def execute_sql_query(sql): + return sql +execute_sql_query("SELECT id FROM orders") """ - queries = sandbox.extract_sql_queries_from_code(code) - self.assertEqual(queries, ["SELECT COUNT(*) FROM table"]) - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_pass_csv(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - mock_container = mock_client.containers.run.return_value - sandbox.container = mock_container - - df = pd.DataFrame({"col1": [1, 2, 3], "col2": [4, 5, 6]}) - sandbox.pass_csv(df, filename="test.csv") - - mock_container.put_archive.assert_called() - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_exec_code(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - mock_container = mock_client.containers.run.return_value - mock_container.exec_run.return_value = ( - 0, - (b'{"type": "number", "value": 42}', b""), - ) - sandbox.container = mock_container - - code = 'result = {"type": "number", "value": 42}' - result = sandbox._exec_code(code, dfs=self.dfs) - self.assertEqual(result, {"type": "number", "value": 42}) - - @patch("pandasai.sandbox.docker_sandbox.docker.from_env") - def test_exec_code_with_sql_queries(self, mock_docker): - sandbox = DockerSandbox(image_name=self.image_name) - mock_client = mock_docker.return_value - mock_container = mock_client.containers.run.return_value - mock_container.exec_run.return_value = ( - 0, - (b'{"type": "number", "value": 42}', b""), - ) - sandbox.container = mock_container - - # Mock SQL execution - mock_df = pd.DataFrame({"total_artists": [42]}) - self.dfs[0].execute_sql_query.return_value = mock_df + queries = self.sandbox._extract_sql_queries_from_code(code) + self.assertEqual(queries, ["SELECT * FROM users", "SELECT id FROM orders"]) + def test_extract_single_sql_queries(self): code = """ -sql_query = 'SELECT COUNT(DISTINCT Artist) AS total_artists FROM artists' -total_artists_df = execute_sql_query(sql_query) -total_artists = total_artists_df['total_artists'].iloc[0] -result = {'type': 'number', 'value': total_artists} +query = "SELECT * FROM users" +execute_sql_query(query) """ - result = sandbox._exec_code(code, dfs=self.dfs) - self.assertEqual(result, {"type": "number", "value": 42}) + queries = self.sandbox._extract_sql_queries_from_code(code) + self.assertEqual(queries, ["SELECT * FROM users"]) + + def test_compile_code_valid(self): + code = "x = 5\ny = 10\nresult = x + y" + compiled = self.sandbox._compile_code(code) + self.assertIsNotNone(compiled) + + def test_compile_code_invalid(self): + code = "x = 5\ny =" + with self.assertRaises(SyntaxError) as context: + self.sandbox._compile_code(code) + self.assertIn("Syntax error in code", str(context.exception)) + + def test_not_implemented_methods(self): + sandbox_base = Sandbox() + with self.assertRaises(NotImplementedError): + sandbox_base.start() + with self.assertRaises(NotImplementedError): + sandbox_base.stop() + with self.assertRaises(NotImplementedError): + sandbox_base._exec_code("", {}) + with self.assertRaises(NotImplementedError): + sandbox_base.pass_csv("data") if __name__ == "__main__": From f880b01781b4b32f6ddb08a6082bbbbd4b553209 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 12:37:35 +0100 Subject: [PATCH 04/15] fix(sandbox): spell mistakes --- examples/docker_sandbox.py | 2 +- .../sandbox/docker/pandasai_docker/docker_sandbox.py | 6 +++--- pandasai/sandbox/sandbox.py | 8 ++++---- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/examples/docker_sandbox.py b/examples/docker_sandbox.py index bb9aac905..11493a3ca 100644 --- a/examples/docker_sandbox.py +++ b/examples/docker_sandbox.py @@ -1,4 +1,4 @@ -# Intall pandasai docker using +# Install pandasai docker using # pip install pandasai-docker from pandasai_docker import DockerSandbox from pandasai_openai.openai import OpenAI diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index 8a49ba2de..d3b24d186 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -80,12 +80,12 @@ def _read_start_code(self, file_path: str) -> str: with open(file_path, "r") as file: return file.read() - def _exec_code(self, code: str, enviroment: dict) -> dict: + def _exec_code(self, code: str, environment: dict) -> dict: """Execute Python code in a Docker container. Args: code (str): Code to execute. - enviroment (dict): Environment variables to pass to the container. + environment (dict): Environment variables to pass to the container. Returns: dict: Result of the code execution. @@ -113,7 +113,7 @@ def _exec_code(self, code: str, enviroment: dict) -> dict: # Execute SQL queries, save the query results to CSV files datasets_map = {} for sql_query in sql_queries: - execute_sql_query_func = enviroment.get("execute_sql_query") + execute_sql_query_func = environment.get("execute_sql_query") if execute_sql_query_func is None: raise RuntimeError( "execute_sql_query function is not defined in the environment." diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py index 99d5ecca4..710ee654e 100644 --- a/pandasai/sandbox/sandbox.py +++ b/pandasai/sandbox/sandbox.py @@ -11,14 +11,14 @@ def start(self): def stop(self): raise NotImplementedError("The stop method must be implemented by subclasses.") - def execute(self, code: str, enviroment: dict) -> dict: + def execute(self, code: str, environment: dict) -> dict: if not self._started: self.start() - return self._exec_code(code, enviroment) + return self._exec_code(code, environment) - return self._exec_code(code, enviroment) + return self._exec_code(code, environment) - def _exec_code(self, code: str, enviroment: dict) -> dict: + def _exec_code(self, code: str, environment: dict) -> dict: raise NotImplementedError( "The exec_code method must be implemented by subclasses." ) From 221c1dca0ad4ecf0c35a9039e173763911a0030d Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 12:40:12 +0100 Subject: [PATCH 05/15] fix(sandbox): fix readme command --- extensions/sandbox/docker/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/extensions/sandbox/docker/README.md b/extensions/sandbox/docker/README.md index edbc9c831..ed753229c 100644 --- a/extensions/sandbox/docker/README.md +++ b/extensions/sandbox/docker/README.md @@ -5,5 +5,5 @@ You can install this extension using poetry: ```bash -poetry install pandasai-docker +poetry add pandasai-docker ``` From a341e07444abe68049db9298553401c7d7d6b9b5 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 12:43:19 +0100 Subject: [PATCH 06/15] fix(langchan): poetry lock file update --- extensions/llms/langchain/poetry.lock | 2216 ++++++++++++------------- 1 file changed, 1040 insertions(+), 1176 deletions(-) diff --git a/extensions/llms/langchain/poetry.lock b/extensions/llms/langchain/poetry.lock index 286cbe9a4..8abc7475e 100644 --- a/extensions/llms/langchain/poetry.lock +++ b/extensions/llms/langchain/poetry.lock @@ -1,99 +1,99 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. 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15:09:30 +0100 Subject: [PATCH 07/15] Update pandasai/sandbox/sandbox.py Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> --- pandasai/sandbox/sandbox.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py index 710ee654e..ed8b9fc98 100644 --- a/pandasai/sandbox/sandbox.py +++ b/pandasai/sandbox/sandbox.py @@ -20,7 +20,7 @@ def execute(self, code: str, environment: dict) -> dict: def _exec_code(self, code: str, environment: dict) -> dict: raise NotImplementedError( - "The exec_code method must be implemented by subclasses." + "Subclasses must implement the _exec_code method." ) def pass_csv(self, csv_data): From 3ed84fe64dad5a8775da46ab0f980f7a01b7160f Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 17:07:33 +0100 Subject: [PATCH 08/15] fix(docker): make docker not use network --- .../docker/pandasai_docker/docker_sandbox.py | 10 +- extensions/sandbox/docker/poetry.lock | 926 ++++++++++-------- extensions/sandbox/docker/pyproject.toml | 4 +- .../sandbox/docker/tests/test_sandbox.py | 28 +- pandasai/sandbox/sandbox.py | 4 +- tests/unit_tests/sandbox/test_sandbox.py | 8 +- 6 files changed, 555 insertions(+), 425 deletions(-) diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index d3b24d186..013f3412b 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -53,7 +53,11 @@ def start(self): f"Starting a Docker container from the image '{self._image_name}'" ) self._container = self._client.containers.run( - self._image_name, command="sleep infinity", detach=True, tty=True + self._image_name, + command="sleep infinity", + network_disabled=True, + detach=True, + tty=True, ) logger.info( f"Started a Docker container with id '{self._container.id}' from the image '{self._image_name}'" @@ -122,7 +126,7 @@ def _exec_code(self, code: str, environment: dict) -> dict: query_df = execute_sql_query_func(sql_query) filename = f"{uuid.uuid4().hex}.csv" # Pass the files to the container for further processing - self.pass_csv(query_df, filename=filename) + self.transfer_file(query_df, filename=filename) datasets_map[sql_query] = filename # Add the datasets_map variable to the code @@ -160,7 +164,7 @@ def execute_sql_query(sql_query): response = output[0].decode() return ResponseSerializer.deserialize(response, original_chart_path) - def pass_csv(self, csv_data, filename="file.csv") -> None: + def transfer_file(self, csv_data, filename="file.csv") -> None: if not self._container: raise RuntimeError("Container is not running.") diff --git a/extensions/sandbox/docker/poetry.lock b/extensions/sandbox/docker/poetry.lock index c7effb045..1dcfd35d0 100644 --- a/extensions/sandbox/docker/poetry.lock +++ b/extensions/sandbox/docker/poetry.lock @@ -11,6 +11,9 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["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", 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"packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -1750,15 +1859,26 @@ files = [ {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, ] +[[package]] +name = "tzdata" +version = "2024.2" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +files = [ + {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"}, + {file = "tzdata-2024.2.tar.gz", hash = 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wrapper for zip files" optional = false -python-versions = ">=3.9" +python-versions = ">=3.8" files = [ - {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, - {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, + {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, + {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] [package.extras] @@ -1788,5 +1908,5 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" -python-versions = ">=3.9,<4.0" -content-hash = "fc42b9a5ff1c4f7868f1f2ea5eb610f98b82da5f8387ba1b13b0c5cca3f2f72a" +python-versions = ">=3.8,<3.12" +content-hash = "99855095e078bed9a373c6fa23f3dafef5a1550bfaad2294b35c74eb62c4bed2" diff --git a/extensions/sandbox/docker/pyproject.toml b/extensions/sandbox/docker/pyproject.toml index 54692d903..4369f54dd 100644 --- a/extensions/sandbox/docker/pyproject.toml +++ b/extensions/sandbox/docker/pyproject.toml @@ -6,8 +6,8 @@ authors = ["ArslanSaleem "] readme = "README.md" [tool.poetry.dependencies] -python = ">=3.9,<4.0" -pandasai = ">=3.0.0a0" +python = ">=3.8,<3.12" +pandasai = ">=3.0.0-beta.0" numpy = ">=1.23.2,<2.0.0" docker = "^7.1.0" diff --git a/extensions/sandbox/docker/tests/test_sandbox.py b/extensions/sandbox/docker/tests/test_sandbox.py index 1f8aefc60..ff08ae8eb 100644 --- a/extensions/sandbox/docker/tests/test_sandbox.py +++ b/extensions/sandbox/docker/tests/test_sandbox.py @@ -68,7 +68,11 @@ def test_start_and_stop_container(self, mock_docker): sandbox.start() mock_client.containers.run.assert_called_once_with( - self.image_name, command="sleep infinity", detach=True, tty=True + self.image_name, + command="sleep infinity", + network_disabled=True, + detach=True, + tty=True, ) sandbox.stop() @@ -84,14 +88,14 @@ def test_extract_sql_queries_from_code(self): self.assertEqual(queries, ["SELECT COUNT(*) FROM table"]) @patch("pandasai_docker.docker_sandbox.docker.from_env") - def test_pass_csv(self, mock_docker): + def test_transfer_file(self, mock_docker): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value mock_container = mock_client.containers.run.return_value sandbox._container = mock_container df = pd.DataFrame({"col1": [1, 2, 3], "col2": [4, 5, 6]}) - sandbox.pass_csv(df, filename="test.csv") + sandbox.transfer_file(df, filename="test.csv") mock_container.put_archive.assert_called() @@ -114,8 +118,8 @@ def test_exec_code(self, mock_docker): self.assertEqual(result, {"type": "number", "value": 42}) @patch("pandasai_docker.docker_sandbox.docker.from_env") - @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") - def test_exec_code_with_sql_queries(self, mock_pass_csv, mock_docker): + @patch("pandasai_docker.docker_sandbox.DockerSandbox.transfer_file") + def test_exec_code_with_sql_queries(self, mock_transfer_file, mock_docker): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value mock_container = mock_client.containers.run.return_value @@ -142,8 +146,10 @@ def test_exec_code_with_sql_queries(self, mock_pass_csv, mock_docker): ) @patch("pandasai_docker.docker_sandbox.docker.from_env") - @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") - def test_exec_code_with_sql_queries_raise_no_env(self, mock_pass_csv, mock_docker): + @patch("pandasai_docker.docker_sandbox.DockerSandbox.transfer_file") + def test_exec_code_with_sql_queries_raise_no_env( + self, mock_transfer_file, mock_docker + ): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value mock_container = mock_client.containers.run.return_value @@ -166,10 +172,10 @@ def test_exec_code_with_sql_queries_raise_no_env(self, mock_pass_csv, mock_docke sandbox._exec_code(code, env) @patch("pandasai_docker.docker_sandbox.docker.from_env") - @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.transfer_file") @patch("pandasai_docker.docker_sandbox.ResponseSerializer.deserialize") def test_exec_code_with_sql_queries_with_plot( - self, mock_deserialize, mock_pass_csv, mock_docker + self, mock_deserialize, mock_transfer_file, mock_docker ): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value @@ -212,10 +218,10 @@ def test_exec_code_with_sql_queries_with_plot( ) @patch("pandasai_docker.docker_sandbox.docker.from_env") - @patch("pandasai_docker.docker_sandbox.DockerSandbox.pass_csv") + @patch("pandasai_docker.docker_sandbox.DockerSandbox.transfer_file") @patch("pandasai_docker.docker_sandbox.ResponseSerializer.deserialize") def test_exec_code_with_sql_queries_with_dataframe( - self, mock_deserialize, mock_pass_csv, mock_docker + self, mock_deserialize, mock_transfer_file, mock_docker ): sandbox = DockerSandbox(image_name=self.image_name) mock_client = mock_docker.return_value diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py index 710ee654e..9b7f20a11 100644 --- a/pandasai/sandbox/sandbox.py +++ b/pandasai/sandbox/sandbox.py @@ -23,9 +23,9 @@ def _exec_code(self, code: str, environment: dict) -> dict: "The exec_code method must be implemented by subclasses." ) - def pass_csv(self, csv_data): + def transfer_file(self, csv_data, filename="file.csv"): raise NotImplementedError( - "The pass_csv method must be implemented by subclasses." + "The transfer_file method must be implemented by subclasses." ) def _extract_sql_queries_from_code(self, code) -> list[str]: diff --git a/tests/unit_tests/sandbox/test_sandbox.py b/tests/unit_tests/sandbox/test_sandbox.py index 8fd2fc110..6c3bf65f6 100644 --- a/tests/unit_tests/sandbox/test_sandbox.py +++ b/tests/unit_tests/sandbox/test_sandbox.py @@ -18,7 +18,7 @@ def _exec_code(self, code: str, environment: dict) -> dict: exec(code, exec_globals) return exec_globals - def pass_csv(self, csv_data): + def transfer_file(self, csv_data, filename): return f"Processed CSV: {csv_data}" self.sandbox = SandboxImpl() @@ -54,8 +54,8 @@ def test_execute_does_not_call_start_if_already_started(self): self.assertIn("a", result) self.assertEqual(result["a"], 20) - def test_pass_csv(self): - result = self.sandbox.pass_csv("sample_data") + def test_transfer_file(self): + result = self.sandbox.transfer_file("sample_data", None) self.assertEqual(result, "Processed CSV: sample_data") def test_extract_sql_queries(self): @@ -96,7 +96,7 @@ def test_not_implemented_methods(self): with self.assertRaises(NotImplementedError): sandbox_base._exec_code("", {}) with self.assertRaises(NotImplementedError): - sandbox_base.pass_csv("data") + sandbox_base.transfer_file("data") if __name__ == "__main__": From a78039dda14e781b0dfdadbdafb584218a8d836c Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 17:40:22 +0100 Subject: [PATCH 09/15] fix(ruff): errors in code formatting --- pandasai/sandbox/sandbox.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/pandasai/sandbox/sandbox.py b/pandasai/sandbox/sandbox.py index 0167d57a6..1672c265b 100644 --- a/pandasai/sandbox/sandbox.py +++ b/pandasai/sandbox/sandbox.py @@ -19,9 +19,7 @@ def execute(self, code: str, environment: dict) -> dict: return self._exec_code(code, environment) def _exec_code(self, code: str, environment: dict) -> dict: - raise NotImplementedError( - "Subclasses must implement the _exec_code method." - ) + raise NotImplementedError("Subclasses must implement the _exec_code method.") def transfer_file(self, csv_data, filename="file.csv"): raise NotImplementedError( From 5d995771cc1407cf8259a41ed79cabe0b23fe2d4 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Tue, 21 Jan 2025 17:47:14 +0100 Subject: [PATCH 10/15] feat(sandbox): add notebook for docker sandbox --- examples/docker_sandbox.ipynb | 0 examples/docker_sandbox.py | 31 ------------------------------- 2 files changed, 31 deletions(-) create mode 100644 examples/docker_sandbox.ipynb delete mode 100644 examples/docker_sandbox.py diff --git a/examples/docker_sandbox.ipynb b/examples/docker_sandbox.ipynb new file mode 100644 index 000000000..e69de29bb diff --git a/examples/docker_sandbox.py b/examples/docker_sandbox.py deleted file mode 100644 index 11493a3ca..000000000 --- a/examples/docker_sandbox.py +++ /dev/null @@ -1,31 +0,0 @@ -# Install pandasai docker using -# pip install pandasai-docker -from pandasai_docker import DockerSandbox -from pandasai_openai.openai import OpenAI - -import pandasai as pai - -llm = OpenAI(api_token="sk-*******") - -pai.config.set({"llm": llm}) - -df = pai.read_csv("/Users/arslan/Documents/SinapTik/pandas-ai/artists.csv") - - -sandbox = DockerSandbox() -agent = Agent([df], memory_size=10, sandbox=sandbox) -# Chat with the Agent -response = agent.chat("plot top five artists streams") - -# destroy container after usage or let class destructor destroys it. -sanbox.stop() - - -# Use custom docker image -sandbox = DockerSandbox("pandaai-sandbox", "/path/to/Dockerfile") -agent = Agent([df], memory_size=10, sandbox=sandbox) -# Chat with the Agent -response = agent.chat("plot top five artists streams") - -# destroy container after usage or let class destructor destroys it. -sandbox.stop() From 1806976aeaa8c996229927007e7f60afada7ec6f Mon Sep 17 00:00:00 2001 From: gdcsinaptik Date: Wed, 22 Jan 2025 20:01:03 +0100 Subject: [PATCH 11/15] added notebook and documentation for sandbox --- docs/mint.json | 9 ++- docs/v3/agent.mdx | 50 ++++++++++++++ examples/docker_sandbox.ipynb | 123 ++++++++++++++++++++++++++++++++++ 3 files changed, 180 insertions(+), 2 deletions(-) diff --git a/docs/mint.json b/docs/mint.json index 00a9b47f9..5ed0f6d6b 100644 --- a/docs/mint.json +++ b/docs/mint.json @@ -3,7 +3,7 @@ "logo": { "light": "/logo/logo.png", "dark": "/logo/logo.png", - "href": "https://pandas-ai.com" + "href": "https://getpanda.ai" }, "favicon": "/favicon.svg", "colors": { @@ -72,9 +72,14 @@ "pages": ["v3/ai-dashboards", "v3/share-dataframes", "v3/permission-management"], "version": "v3" }, + { + "group": "Advanced Usage", + "pages": ["v3/agent"], + "version": "v3" + }, { "group": "Backwards Compatibility", - "pages": ["v3/agent", "v3/smart-dataframes", "v3/smart-datalakes"], + "pages": ["v3/smart-dataframes", "v3/smart-datalakes"], "version": "v3" }, { diff --git a/docs/v3/agent.mdx b/docs/v3/agent.mdx index 0af4635b2..3c9ea68b5 100644 --- a/docs/v3/agent.mdx +++ b/docs/v3/agent.mdx @@ -134,6 +134,56 @@ print(response) # The model will use the information provided in the training to generate a response ``` +## Using the Sandbox Environment + +To enhance security and protect against malicious code through prompt injection, PandaAI provides a sandbox environment for code execution. The sandbox runs your code in an isolated Docker container, ensuring that potentially harmful operations are contained. + +### Installation + +First, install the sandbox package: + +```bash +pip install pandasai-docker +``` + +### Basic Usage + +Here's how to use the sandbox with your PandaAI agent: + +```python +from pandasai import Agent +from pandasai_docker import DockerSandbox + +# Initialize the sandbox +sandbox = DockerSandbox() +sandbox.start() + +# Create an agent with the sandbox +df = pai.read_csv("data.csv") +agent = Agent([df], sandbox=sandbox) + +# Chat with the agent - code will run in the sandbox +response = agent.chat("Calculate the average sales") + +# Don't forget to stop the sandbox when done +sandbox.stop() +``` + +### Customizing the Sandbox + +You can customize the sandbox environment by specifying a custom name and Dockerfile: + +```python +sandbox = DockerSandbox( + "custom-sandbox-name", + "/path/to/custom/Dockerfile" +) +``` + + +The sandbox works offline and provides an additional layer of security for code execution. It's particularly useful when working with untrusted data or when you need to ensure that code execution is isolated from your main system. + + ## Troubleshooting In some cases, you might get an error like this: `No vector store provided. Please provide a vector store to train the agent`. It means no API key has been generated to use the `BambooVectorStore`. diff --git a/examples/docker_sandbox.ipynb b/examples/docker_sandbox.ipynb index e69de29bb..881a20f8b 100644 --- a/examples/docker_sandbox.ipynb +++ b/examples/docker_sandbox.ipynb @@ -0,0 +1,123 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Execute code in a sandbox\n", + "\n", + "To enhance security and protect yourself from malicious code through prompt injection, \n", + "we make it possible to run code in a sandbox environment.\n", + "This notebook explains how to do it." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Install the package\n", + "\n", + "First of all you need to install the python package. You can use pip to install it" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pip install pandasai-docker" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Execute the code in the sandbox with the agent\n", + "\n", + "Please keep in mind the sandbox works offline. \n", + "Once you have installed the package, you can start the sandbox with the following code.\n", + "For the purpose of this example, we are going to use bambooLLM as the LLM chosen for the agent." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandasai as pai\n", + "from pandasai import Agent\n", + "from pandasai_docker import DockerSandbox\n", + "\n", + "pai.set_api_key(\"YOUR_API_KEY\")\n", + "\n", + "# initialize the sandbox\n", + "sandbox = DockerSandbox()\n", + "sandbox.start()\n", + "\n", + "# read a csv as df\n", + "df = pai.read_csv(\"./data/heart.csv\")\n", + "\n", + "# pass the csv and the sandbox to the agent\n", + "agent = Agent([df], memory_size=10, sandbox=sandbox)\n", + "\n", + "# Chat with the Agent\n", + "response = agent.chat(\"plot top five artists streams\")\n", + "\n", + "# stop the sandbox (docker container)\n", + "sandbox.stop()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Customize the sandbox\n", + "\n", + "You can decide the name and path of your sandbox by passing them as positional arguments in the DockerSandbox()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sandbox = DockerSandbox(\"pandaai-sandbox\", \"/path/to/Dockerfile\")\n", + "\n", + "# read a csv as df\n", + "df = pai.read_csv(\"./data/heart.csv\")\n", + "\n", + "# pass the csv and the sandbox to the agent\n", + "agent = Agent([df], memory_size=10, sandbox=sandbox)\n", + "\n", + "# Chat with the Agent\n", + "response = agent.chat(\"plot top five artists streams\")\n", + "\n", + "sandbox.stop()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 878f3256ad76a31f72d5fbf5e115e853544b98f8 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Fri, 24 Jan 2025 14:37:22 +0100 Subject: [PATCH 12/15] feat(Sandbox): typo and update documentation --- docs/v3/agent.mdx | 18 ++++++++++++------ .../sandbox/docker/pandasai_docker/Dockerfile | 2 +- .../docker/pandasai_docker/docker_sandbox.py | 2 +- 3 files changed, 14 insertions(+), 8 deletions(-) diff --git a/docs/v3/agent.mdx b/docs/v3/agent.mdx index 3c9ea68b5..dee329cec 100644 --- a/docs/v3/agent.mdx +++ b/docs/v3/agent.mdx @@ -1,18 +1,18 @@ --- -title: 'Agent' -description: 'Add few-shot learning to your PandaAI agent' +title: "Agent" +description: "Add few-shot learning to your PandaAI agent" --- -Release v3 is currently in beta. This documentation reflects the features and functionality in progress and may change before the final release. + Release v3 is currently in beta. This documentation reflects the features and + functionality in progress and may change before the final release. You can train PandaAI to understand your data better and to improve its performance. Training is as easy as calling the `train` method on the `Agent`. - ## Prerequisites -Before you start training PandaAI, you need to set your PandaAI API key. +Before you start training PandaAI, you need to set your PandaAI API key. You can generate your API key by signing up at [https://app.pandabi.ai](https://app.pandabi.ai). ```python @@ -140,6 +140,8 @@ To enhance security and protect against malicious code through prompt injection, ### Installation +Before using the sandbox, you need to install Docker on your machine and ensure it is running. + First, install the sandbox package: ```bash @@ -181,7 +183,9 @@ sandbox = DockerSandbox( ``` -The sandbox works offline and provides an additional layer of security for code execution. It's particularly useful when working with untrusted data or when you need to ensure that code execution is isolated from your main system. + The sandbox works offline and provides an additional layer of security for + code execution. It's particularly useful when working with untrusted data or + when you need to ensure that code execution is isolated from your main system. ## Troubleshooting @@ -203,9 +207,11 @@ vector_store = BambooVectorStor(api_key="YOUR_PANDABI_API_KEY") # Instantiate the agent with the custom vector store agent = Agent(connector, config={...} vectorstore=vector_store) ``` + ## Custom Head In some cases, you might want to provide custom data samples to the conversational agent to improve its understanding and responses. For example, you might want to: + - Provide better examples that represent your data patterns - Avoid sharing sensitive information - Guide the agent with specific data scenarios diff --git a/extensions/sandbox/docker/pandasai_docker/Dockerfile b/extensions/sandbox/docker/pandasai_docker/Dockerfile index ba7ebf0b9..2f39e00ac 100644 --- a/extensions/sandbox/docker/pandasai_docker/Dockerfile +++ b/extensions/sandbox/docker/pandasai_docker/Dockerfile @@ -1,6 +1,6 @@ FROM python:3.9 -LABEL image_name="pandaai-sandbox" +LABEL image_name="pandasai-sandbox" # Install required Python packages RUN pip install pandas numpy matplotlib diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index 013f3412b..4ceff2a12 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -16,7 +16,7 @@ class DockerSandbox(Sandbox): - def __init__(self, image_name="pandaai-sandbox", dockerfile_path=None): + def __init__(self, image_name="pandasai-sandbox", dockerfile_path=None): super().__init__() self._dockerfile_path: str = dockerfile_path or os.path.join( os.path.dirname(__file__), "Dockerfile" From 7c18a8c15704d57ea765f51320778dde420da324 Mon Sep 17 00:00:00 2001 From: ArslanSaleem Date: Fri, 24 Jan 2025 16:48:44 +0100 Subject: [PATCH 13/15] fix(docker): create docker from command line --- .../docker/pandasai_docker/docker_sandbox.py | 23 +++++++++++++++++-- .../sandbox/docker/tests/test_sandbox.py | 7 +++--- 2 files changed, 24 insertions(+), 6 deletions(-) diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index 4ceff2a12..a09d4aa17 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -2,6 +2,7 @@ import logging import os import re +import subprocess import tarfile import uuid from typing import Optional @@ -44,8 +45,26 @@ def _build_image(self) -> None: logger.info( f"Building Docker image '{self._image_name}' from '{self._dockerfile_path}'..." ) - with open(self._dockerfile_path, "rb") as file: - self._client.images.build(fileobj=file, tag=self._image_name) + try: + subprocess.run( + [ + "docker", + "build", + "-f", + self._dockerfile_path, + "-t", + "pandasai-sandbox", + ".", + ], + check=True, + capture_output=True, + text=True, + ) + except subprocess.CalledProcessError as e: + logger.error( + f"Failed to build Docker image '{self._image_name}' failed with error: {e.stderr}" + ) + raise def start(self): if not self._started: diff --git a/extensions/sandbox/docker/tests/test_sandbox.py b/extensions/sandbox/docker/tests/test_sandbox.py index ff08ae8eb..e4166b529 100644 --- a/extensions/sandbox/docker/tests/test_sandbox.py +++ b/extensions/sandbox/docker/tests/test_sandbox.py @@ -35,7 +35,8 @@ def test_image_exists(self, mock_docker): @patch("builtins.open") @patch("pandasai_docker.docker_sandbox.docker.from_env") - def test_build_image(self, mock_docker, mock_open): + @patch("pandasai_docker.docker_sandbox.subprocess") + def test_build_image(self, mock_subprocess, mock_docker, mock_open): # Create a single BytesIO object to mock the file content mock_file = MagicMock(spec=BytesIO) mock_file.__enter__.return_value = BytesIO(b"FROM python:3.9") @@ -55,9 +56,7 @@ def test_build_image(self, mock_docker, mock_open): expected_fileobj = mock_file.__enter__.return_value # Assert - mock_client.images.build.assert_called_once_with( - fileobj=expected_fileobj, tag=image_name - ) + mock_subprocess.run.assert_called_once() @patch("pandasai_docker.docker_sandbox.docker.from_env") def test_start_and_stop_container(self, mock_docker): From bf1bf4f66d602f973a7b39e28959a3f2c460fb6d Mon Sep 17 00:00:00 2001 From: Arslan Saleem Date: Fri, 24 Jan 2025 17:31:14 +0100 Subject: [PATCH 14/15] Update extensions/sandbox/docker/pandasai_docker/docker_sandbox.py Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> --- extensions/sandbox/docker/pandasai_docker/docker_sandbox.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index a09d4aa17..9014ae775 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -53,7 +53,7 @@ def _build_image(self) -> None: "-f", self._dockerfile_path, "-t", - "pandasai-sandbox", + self._image_name, ".", ], check=True, From 79f71f66318c4fafac9fe5e76d46648617bcdccf Mon Sep 17 00:00:00 2001 From: Arslan Saleem Date: Fri, 24 Jan 2025 17:31:29 +0100 Subject: [PATCH 15/15] Update extensions/sandbox/docker/pandasai_docker/docker_sandbox.py Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> --- extensions/sandbox/docker/pandasai_docker/docker_sandbox.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py index 9014ae775..c8bf4641c 100644 --- a/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py +++ b/extensions/sandbox/docker/pandasai_docker/docker_sandbox.py @@ -62,7 +62,7 @@ def _build_image(self) -> None: ) except subprocess.CalledProcessError as e: logger.error( - f"Failed to build Docker image '{self._image_name}' failed with error: {e.stderr}" + f"Failed to build Docker image '{self._image_name}' with error: {e.stderr}" ) raise