From bb70d25f172dee5f077d7553342dfc9a1934a60f Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 18:25:08 +0100 Subject: [PATCH 1/7] ollama extension adding --- .../llms/ollama/pandasai_ollama/ollama.py | 113 ++++++++++++++++ extensions/llms/ollama/pyproject.toml | 29 ++++ extensions/llms/ollama/tests/test_1.py | 34 +++++ extensions/llms/ollama/tests/test_ollama.py | 127 ++++++++++++++++++ pyproject.toml | 2 +- 5 files changed, 304 insertions(+), 1 deletion(-) create mode 100644 extensions/llms/ollama/pandasai_ollama/ollama.py create mode 100644 extensions/llms/ollama/pyproject.toml create mode 100644 extensions/llms/ollama/tests/test_1.py create mode 100644 extensions/llms/ollama/tests/test_ollama.py diff --git a/extensions/llms/ollama/pandasai_ollama/ollama.py b/extensions/llms/ollama/pandasai_ollama/ollama.py new file mode 100644 index 000000000..bdeb14546 --- /dev/null +++ b/extensions/llms/ollama/pandasai_ollama/ollama.py @@ -0,0 +1,113 @@ +import os +from typing import Any, Dict, Optional + +import openai +from pandasai.llm.base import LLM +from pandasai.core.prompts.base import BasePrompt +from pandasai.agent.state import AgentState +from pandasai.helpers import load_dotenv +from pandasai.core.prompts.generate_system_message import GenerateSystemMessagePrompt + +# Load .env if present +load_dotenv() + +class OllamaLLM(LLM): + _type: str = "ollama" + model: str = "llama2" # default model, can be overridden + + def __init__( + self, + api_key: Optional[str] = None, + ollama_base_url: Optional[str] = None, + **kwargs: Any, + ) -> None: + # For Ollama, a dummy API key is required (but not used) + self.api_key = api_key or os.getenv("OLLAMA_API_KEY", "ollama") + # Get base URL from parameter or env, default to localhost + base = ollama_base_url or os.getenv("OLLAMA_BASE_URL", "http://localhost:11434") + # Ensure the base URL ends with "/v1" + if not base.rstrip("/").endswith("/v1"): + base = base.rstrip("/") + "/v1" + self.base_url = base + + # Set additional parameters (e.g. model, temperature, etc.) + self._set_params(**kwargs) + + # Assume chat mode by default + self._is_chat_model = True + self.client = openai.OpenAI( + api_key=self.api_key, + base_url=self.base_url, + **self._client_params, + ).chat.completions + + def _set_params(self, **kwargs: Any) -> None: + valid_params = [ + "model", + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "stop", + "n", + "best_of", + "request_timeout", + "max_retries", + "seed", + ] + for key, value in kwargs.items(): + if key in valid_params: + setattr(self, key, value) + + @property + def _client_params(self) -> Dict[str, Any]: + return { + "timeout": getattr(self, "request_timeout", None), + "max_retries": getattr(self, "max_retries", 2), + } + + @property + def _default_params(self) -> Dict[str, Any]: + params: Dict[str, Any] = { + "temperature": getattr(self, "temperature", 0), + "top_p": getattr(self, "top_p", 1), + "frequency_penalty": getattr(self, "frequency_penalty", 0), + "presence_penalty": getattr(self, "presence_penalty", 0), + "n": getattr(self, "n", 1), + } + if hasattr(self, "max_tokens") and self.max_tokens is not None: + params["max_tokens"] = self.max_tokens + if hasattr(self, "stop") and self.stop is not None: + params["stop"] = [self.stop] + if hasattr(self, "best_of") and self.best_of > 1: + params["best_of"] = self.best_of + return params + + def call(self, instruction: BasePrompt, context: AgentState = None) -> str: + # Get the base prompt string from the user instruction. + prompt_str = instruction.to_string() + # If a context is provided with conversation memory, + # prepend the system prompt (generated via GenerateSystemMessagePrompt). + if context and context.memory: + system_prompt = GenerateSystemMessagePrompt(memory=context.memory) + prompt_str = system_prompt.to_string() + "\n" + prompt_str + + if self._is_chat_model: + response = self.client.create( + model=self.model, + messages=[{"role": "user", "content": prompt_str}], + **self._default_params, + ) + return response.choices[0].message.content + else: + response = self.client.create( + model=self.model, + prompt=prompt_str, + **self._default_params, + ) + return response.choices[0].text + + @property + def type(self) -> str: + return self._type diff --git a/extensions/llms/ollama/pyproject.toml b/extensions/llms/ollama/pyproject.toml new file mode 100644 index 000000000..18fd12991 --- /dev/null +++ b/extensions/llms/ollama/pyproject.toml @@ -0,0 +1,29 @@ +[tool.poetry] +name = "pandasai-openai" +version = "0.1.5" +description = "OpenAI integration for PandaAI" +authors = ["Gabriele Venturi"] +license = "MIT" +readme = "README.md" + +[tool.poetry.urls] +"Documentation" = "https://docs.getpanda.ai/" +"Repository" = "https://github.com/sinaptik-ai/pandas-ai" + +[tool.poetry.dependencies] +python = ">=3.8,<3.12" +pandasai = ">=3.0.0b4" +openai = "^1.3.7" +typing-extensions = "^4.0.0" + +[tool.poetry.group.test] +optional = true + +[tool.poetry.group.test.dependencies] +pytest = "^7.4.0" +pytest-cov = "^4.1.0" +pytest-mock = "^3.11.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/extensions/llms/ollama/tests/test_1.py b/extensions/llms/ollama/tests/test_1.py new file mode 100644 index 000000000..c6048a7e5 --- /dev/null +++ b/extensions/llms/ollama/tests/test_1.py @@ -0,0 +1,34 @@ +import pandasai as pai +from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM + +# Sample DataFrame +df = pai.DataFrame({ + "country": ["United States", "United Kingdom", "France", "Germany", "Italy"], + "revenue": [5000, 3200, 2900, 4100, 2300] +}) + +# Set a dummy API key for Ollama +pai.api_key.set("ollama") + +# Create a custom prompt that forces the LLM to use execute_sql_query +custom_prompt = ( + "Generate Python code that retrieves the top 5 countries by sales from the given DataFrame. Your code must call the function `execute_sql_query` with a valid SQL SELECT query to obtain the result. IMPORTANT: Enclose the entire code snippet within triple backticks (```), and return nothing else (no explanations, comments, or extra text)." +) + +# Override the global configuration with your custom LLM and custom prompt. +pai.config.set({ + "llm": OllamaLLM( + api_key="ollama", + ollama_base_url="http://localhost:11434", # or your custom URL + model="llama3.2:latest", # using the new model name if needed + temperature=0.7, + max_tokens=150, + ), + "custom_prompts": { + "chat": custom_prompt + } +}) + +# Now call df.chat; the agent will use your custom prompt. +response = df.chat("Which are the top 5 countries by sales?") +print("Response from Ollama:", response) diff --git a/extensions/llms/ollama/tests/test_ollama.py b/extensions/llms/ollama/tests/test_ollama.py new file mode 100644 index 000000000..23d9382c4 --- /dev/null +++ b/extensions/llms/ollama/tests/test_ollama.py @@ -0,0 +1,127 @@ +import os +from types import SimpleNamespace +from unittest import mock + +import pytest +from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM +from pandasai.core.prompts.base import BasePrompt + +# Helper to simulate an OpenAI-like response. +def create_response(content, mode="chat"): + if mode == "chat": + return SimpleNamespace( + choices=[SimpleNamespace(message=SimpleNamespace(content=content))] + ) + else: + return SimpleNamespace( + choices=[SimpleNamespace(text=content)] + ) + +# Dummy prompt for testing. +class DummyPrompt(BasePrompt): + template = "Tell me a joke." + + def __init__(self, message): + super().__init__(message=message) + self.props = {"message": message} + + def to_string(self): + return self.props.get("message", "") + +@pytest.fixture +def prompt(): + return DummyPrompt("Hello") + +class TestOllamaLLM: + def test_default_base_url(self, prompt): + # Remove OLLAMA_BASE_URL from environment, if exists. + os.environ.pop("OLLAMA_BASE_URL", None) + + with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + dummy_client = mock.Mock() + dummy_completion = mock.Mock() + expected_response = "Ollama dummy response" + dummy_completion.create.return_value = create_response(expected_response, mode="chat") + dummy_client.chat.completions = dummy_completion + mock_openai.return_value = dummy_client + + llm = OllamaLLM(api_key="dummy") + # Default base URL should be "http://localhost:11434/v1" + assert llm.base_url == "http://localhost:11434/v1" + + result = llm.call(prompt) + dummy_completion.create.assert_called_once_with( + model="llama2", + messages=[{"role": "user", "content": prompt.to_string()}], + **llm._default_params, + ) + assert result == expected_response + + def test_overridden_base_url(self, prompt): + custom_url = "http://custom-url:1234" + with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + dummy_client = mock.Mock() + dummy_completion = mock.Mock() + expected_response = "Custom joke" + dummy_completion.create.return_value = create_response(expected_response, mode="chat") + dummy_client.chat.completions = dummy_completion + mock_openai.return_value = dummy_client + + llm = OllamaLLM(api_key="dummy", ollama_base_url=custom_url) + expected_url = custom_url.rstrip("/") + "/v1" + assert llm.base_url == expected_url + + result = llm.call(prompt) + dummy_completion.create.assert_called_once_with( + model="llama2", + messages=[{"role": "user", "content": prompt.to_string()}], + **llm._default_params, + ) + assert result == expected_response + + def test_params_setting(self, prompt): + with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + dummy_client = mock.Mock() + dummy_completion = mock.Mock() + dummy_completion.create.return_value = create_response("Dummy response", mode="chat") + dummy_client.chat.completions = dummy_completion + mock_openai.return_value = dummy_client + + llm = OllamaLLM(api_key="dummy", model="llama2", temperature=0.7, max_tokens=150) + assert llm.model == "llama2" + assert llm.temperature == 0.7 + assert llm.max_tokens == 150 + + def test_call_non_chat_mode(self, prompt): + # Force non-chat mode. + with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + dummy_client = mock.Mock() + dummy_completion = mock.Mock() + expected_response = "Non-chat dummy response" + dummy_completion.create.return_value = create_response(expected_response, mode="non-chat") + # In non-chat mode, the client uses the 'completions' attribute. + dummy_client.completions = dummy_completion + mock_openai.return_value = dummy_client + + llm = OllamaLLM(api_key="dummy", model="llama2") + llm._is_chat_model = False # Force non-chat mode. + # Set client to completions for non-chat mode. + llm.client = dummy_client.completions + result = llm.call(prompt) + dummy_completion.create.assert_called_once_with( + model="llama2", + prompt=prompt.to_string(), + **llm._default_params, + ) + assert result == expected_response + + def test_type_property(self): + with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + dummy_client = mock.Mock() + dummy_completion = mock.Mock() + dummy_completion.create.return_value = create_response("Dummy response", mode="chat") + dummy_client.chat.completions = dummy_completion + mock_openai.return_value = dummy_client + + llm = OllamaLLM(api_key="dummy") + assert llm.type == "ollama" diff --git a/pyproject.toml b/pyproject.toml index 8e56541f0..630bd7a3e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,4 +55,4 @@ build-backend = "poetry.core.masonry.api" exclude = ["tests_*"] [tool.setuptools] -license-files = ["LICENSE"] \ No newline at end of file +license-files = ["LICENSE"] From 4c788a4035a44ef634fa652ba17f9f9fa8e6b8fe Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 18:41:28 +0100 Subject: [PATCH 2/7] ollama extension adding --- extensions/llms/ollama/tests/test_1.py | 34 -------------------------- 1 file changed, 34 deletions(-) diff --git a/extensions/llms/ollama/tests/test_1.py b/extensions/llms/ollama/tests/test_1.py index c6048a7e5..e69de29bb 100644 --- a/extensions/llms/ollama/tests/test_1.py +++ b/extensions/llms/ollama/tests/test_1.py @@ -1,34 +0,0 @@ -import pandasai as pai -from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM - -# Sample DataFrame -df = pai.DataFrame({ - "country": ["United States", "United Kingdom", "France", "Germany", "Italy"], - "revenue": [5000, 3200, 2900, 4100, 2300] -}) - -# Set a dummy API key for Ollama -pai.api_key.set("ollama") - -# Create a custom prompt that forces the LLM to use execute_sql_query -custom_prompt = ( - "Generate Python code that retrieves the top 5 countries by sales from the given DataFrame. Your code must call the function `execute_sql_query` with a valid SQL SELECT query to obtain the result. IMPORTANT: Enclose the entire code snippet within triple backticks (```), and return nothing else (no explanations, comments, or extra text)." -) - -# Override the global configuration with your custom LLM and custom prompt. -pai.config.set({ - "llm": OllamaLLM( - api_key="ollama", - ollama_base_url="http://localhost:11434", # or your custom URL - model="llama3.2:latest", # using the new model name if needed - temperature=0.7, - max_tokens=150, - ), - "custom_prompts": { - "chat": custom_prompt - } -}) - -# Now call df.chat; the agent will use your custom prompt. -response = df.chat("Which are the top 5 countries by sales?") -print("Response from Ollama:", response) From f78b91762fe212ff2e1c8afcb24604b6320bab43 Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 20:05:39 +0100 Subject: [PATCH 3/7] premit-checking and readme for ollama integration and usage --- .../llms/litellm/pandasai_litellm/litellm.py | 3 +- extensions/llms/ollama/README.md | 95 + .../llms/ollama/pandasai_ollama/ollama.py | 8 +- extensions/llms/ollama/poetry.lock | 2416 +++++++++++++++++ extensions/llms/ollama/pyproject.toml | 8 +- extensions/llms/ollama/tests/test_1.py | 30 + extensions/llms/ollama/tests/test_ollama.py | 71 +- poetry.lock | 104 +- pyproject.toml | 2 + 9 files changed, 2672 insertions(+), 65 deletions(-) create mode 100644 extensions/llms/ollama/README.md create mode 100644 extensions/llms/ollama/poetry.lock diff --git a/extensions/llms/litellm/pandasai_litellm/litellm.py b/extensions/llms/litellm/pandasai_litellm/litellm.py index 25f22cfb7..d03ac7b05 100644 --- a/extensions/llms/litellm/pandasai_litellm/litellm.py +++ b/extensions/llms/litellm/pandasai_litellm/litellm.py @@ -1,9 +1,10 @@ +import logging + from litellm import completion from pandasai.agent.state import AgentState from pandasai.core.prompts.base import BasePrompt from pandasai.llm.base import LLM -import logging class LiteLLM(LLM): diff --git a/extensions/llms/ollama/README.md b/extensions/llms/ollama/README.md new file mode 100644 index 000000000..529a7491d --- /dev/null +++ b/extensions/llms/ollama/README.md @@ -0,0 +1,95 @@ +Below is an example of a complete README for your Ollama extension. You can customize details (such as contact information) as needed: + +--- + +# PandaAI Ollama LLM Extension + +This extension integrates Ollama language models with PandaAI. It allows you to use Ollama's LLMs as the backend for generating Python code in response to natural language queries on your dataframes. + +## Features + +- **Ollama Integration:** Leverage Ollama's powerful language models (e.g., `llama2`, `llama3.2`) within PandaAI. +- **Customizable Base URL:** Easily change the Ollama base URL (default is `http://localhost:11434/v1`) to point to your own Ollama server. +- **Flexible Model Parameters:** Configure model parameters such as temperature, max tokens, top_p, frequency penalty, etc. +- **Chat & Non-Chat Modes:** Supports both conversational (chat) mode and standard completion mode. + +## Installation + +1. **Clone the Repository** (if you haven't already): + ```bash + git clone https://github.com/sinaptik-ai/pandas-ai.git + cd pandas-ai + ``` + +2. **Navigate to the Ollama Extension Directory:** + ```bash + cd extensions/llms/ollama + ``` + +3. **Install the Extension Dependencies:** + ```bash + poetry install + + poetry add pandasai-ollama + ``` + + > **Note:** If you encounter packaging issues, ensure that this directory contains a valid `README.md` file. This README file is required for Poetry to install the project. + +## Configuration + +### Environment Variables + +You can configure the extension by setting the following environment variables: + +- **`OLLAMA_API_KEY`** + A dummy API key is required by the extension (the key itself is not used). + *Default:* `ollama` + +- **`OLLAMA_BASE_URL`** + The base URL for your Ollama API server. The extension ensures that the URL ends with `/v1`. + *Default:* `http://localhost:11434` + +### Code-Based Configuration + +You can also override configuration options directly in your code when setting up PandaAI: + +```python +import pandasai as pai +from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM + +# Set a dummy API key (for Ollama, the key is required but not used) +pai.api_key.set("ollama") + +# Override the global configuration with your Ollama settings +pai.config.set({ + "llm": OllamaLLM( + api_key="ollama", # Dummy key + ollama_base_url="http://your-ollama-server:1234", # Custom URL if needed + model="llama3.2:latest", # Specify the model (can be overridden) + temperature=0.7, + max_tokens=150, + ) +}) +``` + +## Usage + +Once you have configured the extension, you can use PandaAI’s DataFrame interface to interact with your data. For example: + +```python +import pandasai as pai + +# Create a sample DataFrame +df = pai.DataFrame({ + "country": ["United States", "United Kingdom", "France", "Germany", "Italy"], + "revenue": [5000, 3200, 2900, 4100, 2300] +}) + +# Ask a natural language question that expects a Python code answer +response = df.chat("Which are the top 5 countries by sales?") +print("Response from Ollama:", response) +``` + +The extension sends your prompt (and any conversation context) to the Ollama LLM backend. The LLM is expected to return a valid Python code snippet that, when executed, produces the desired result. + + diff --git a/extensions/llms/ollama/pandasai_ollama/ollama.py b/extensions/llms/ollama/pandasai_ollama/ollama.py index bdeb14546..16ab28b9f 100644 --- a/extensions/llms/ollama/pandasai_ollama/ollama.py +++ b/extensions/llms/ollama/pandasai_ollama/ollama.py @@ -2,15 +2,17 @@ from typing import Any, Dict, Optional import openai -from pandasai.llm.base import LLM -from pandasai.core.prompts.base import BasePrompt + from pandasai.agent.state import AgentState -from pandasai.helpers import load_dotenv +from pandasai.core.prompts.base import BasePrompt from pandasai.core.prompts.generate_system_message import GenerateSystemMessagePrompt +from pandasai.helpers import load_dotenv +from pandasai.llm.base import LLM # Load .env if present load_dotenv() + class OllamaLLM(LLM): _type: str = "ollama" model: str = "llama2" # default model, can be overridden diff --git a/extensions/llms/ollama/poetry.lock b/extensions/llms/ollama/poetry.lock new file mode 100644 index 000000000..832e0b7ee --- /dev/null +++ b/extensions/llms/ollama/poetry.lock @@ -0,0 +1,2416 @@ +# This file is automatically @generated by Poetry 2.1.1 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" +groups = ["main"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} + +[[package]] +name = "anyio" +version = "4.5.2" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version < \"3.10\"" +files = [ + {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"}, + {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" +typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} + +[package.extras] +doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; 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"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 ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.1" +python-versions = ">=3.8,<3.12" +content-hash = "083c1c663873ad9c5cd484a4c34c4b32e4092972b8b2655061587db330ceab9e" diff --git a/extensions/llms/ollama/pyproject.toml b/extensions/llms/ollama/pyproject.toml index 18fd12991..e1f04b002 100644 --- a/extensions/llms/ollama/pyproject.toml +++ b/extensions/llms/ollama/pyproject.toml @@ -1,8 +1,8 @@ [tool.poetry] -name = "pandasai-openai" -version = "0.1.5" -description = "OpenAI integration for PandaAI" -authors = ["Gabriele Venturi"] +name = "pandasai-ollama" +version = "0.1.0" +description = "Ollama integration for PandaAI" +authors = ["O. A. Stéphane KPOVIESSI"] license = "MIT" readme = "README.md" diff --git a/extensions/llms/ollama/tests/test_1.py b/extensions/llms/ollama/tests/test_1.py index e69de29bb..f75bc4ff9 100644 --- a/extensions/llms/ollama/tests/test_1.py +++ b/extensions/llms/ollama/tests/test_1.py @@ -0,0 +1,30 @@ +import pandasai as pai +from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM + +# Create a sample DataFrame +df = pai.DataFrame( + { + "country": ["United States", "United Kingdom", "France", "Germany", "Italy"], + "revenue": [5000, 3200, 2900, 4100, 2300], + } +) + +# For Ollama, we use a dummy API key ("ollama") since it isn’t used. +pai.api_key.set("ollama") + +# Set the global configuration to use the Ollama LLM +pai.config.set( + { + "llm": OllamaLLM( + api_key="ollama", + ollama_base_url="http://localhost:11434", + model="llama3.2:latest", + temperature=0.7, + max_tokens=150, + ) + } +) + +# Ask the question +response = df.chat("Which are the top 5 countries by sales?") +print("Response from Ollama:", response) diff --git a/extensions/llms/ollama/tests/test_ollama.py b/extensions/llms/ollama/tests/test_ollama.py index 23d9382c4..10c769184 100644 --- a/extensions/llms/ollama/tests/test_ollama.py +++ b/extensions/llms/ollama/tests/test_ollama.py @@ -3,9 +3,11 @@ from unittest import mock import pytest + from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM from pandasai.core.prompts.base import BasePrompt + # Helper to simulate an OpenAI-like response. def create_response(content, mode="chat"): if mode == "chat": @@ -13,14 +15,13 @@ def create_response(content, mode="chat"): choices=[SimpleNamespace(message=SimpleNamespace(content=content))] ) else: - return SimpleNamespace( - choices=[SimpleNamespace(text=content)] - ) + return SimpleNamespace(choices=[SimpleNamespace(text=content)]) + # Dummy prompt for testing. class DummyPrompt(BasePrompt): template = "Tell me a joke." - + def __init__(self, message): super().__init__(message=message) self.props = {"message": message} @@ -28,27 +29,33 @@ def __init__(self, message): def to_string(self): return self.props.get("message", "") + @pytest.fixture def prompt(): return DummyPrompt("Hello") + class TestOllamaLLM: def test_default_base_url(self, prompt): # Remove OLLAMA_BASE_URL from environment, if exists. os.environ.pop("OLLAMA_BASE_URL", None) - - with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + + with mock.patch( + "extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI" + ) as mock_openai: dummy_client = mock.Mock() dummy_completion = mock.Mock() expected_response = "Ollama dummy response" - dummy_completion.create.return_value = create_response(expected_response, mode="chat") + dummy_completion.create.return_value = create_response( + expected_response, mode="chat" + ) dummy_client.chat.completions = dummy_completion mock_openai.return_value = dummy_client - + llm = OllamaLLM(api_key="dummy") # Default base URL should be "http://localhost:11434/v1" assert llm.base_url == "http://localhost:11434/v1" - + result = llm.call(prompt) dummy_completion.create.assert_called_once_with( model="llama2", @@ -59,18 +66,22 @@ def test_default_base_url(self, prompt): def test_overridden_base_url(self, prompt): custom_url = "http://custom-url:1234" - with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + with mock.patch( + "extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI" + ) as mock_openai: dummy_client = mock.Mock() dummy_completion = mock.Mock() expected_response = "Custom joke" - dummy_completion.create.return_value = create_response(expected_response, mode="chat") + dummy_completion.create.return_value = create_response( + expected_response, mode="chat" + ) dummy_client.chat.completions = dummy_completion mock_openai.return_value = dummy_client - + llm = OllamaLLM(api_key="dummy", ollama_base_url=custom_url) expected_url = custom_url.rstrip("/") + "/v1" assert llm.base_url == expected_url - + result = llm.call(prompt) dummy_completion.create.assert_called_once_with( model="llama2", @@ -80,29 +91,39 @@ def test_overridden_base_url(self, prompt): assert result == expected_response def test_params_setting(self, prompt): - with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + with mock.patch( + "extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI" + ) as mock_openai: dummy_client = mock.Mock() dummy_completion = mock.Mock() - dummy_completion.create.return_value = create_response("Dummy response", mode="chat") + dummy_completion.create.return_value = create_response( + "Dummy response", mode="chat" + ) dummy_client.chat.completions = dummy_completion mock_openai.return_value = dummy_client - - llm = OllamaLLM(api_key="dummy", model="llama2", temperature=0.7, max_tokens=150) + + llm = OllamaLLM( + api_key="dummy", model="llama2", temperature=0.7, max_tokens=150 + ) assert llm.model == "llama2" assert llm.temperature == 0.7 assert llm.max_tokens == 150 def test_call_non_chat_mode(self, prompt): # Force non-chat mode. - with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + with mock.patch( + "extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI" + ) as mock_openai: dummy_client = mock.Mock() dummy_completion = mock.Mock() expected_response = "Non-chat dummy response" - dummy_completion.create.return_value = create_response(expected_response, mode="non-chat") + dummy_completion.create.return_value = create_response( + expected_response, mode="non-chat" + ) # In non-chat mode, the client uses the 'completions' attribute. dummy_client.completions = dummy_completion mock_openai.return_value = dummy_client - + llm = OllamaLLM(api_key="dummy", model="llama2") llm._is_chat_model = False # Force non-chat mode. # Set client to completions for non-chat mode. @@ -116,12 +137,16 @@ def test_call_non_chat_mode(self, prompt): assert result == expected_response def test_type_property(self): - with mock.patch("extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI") as mock_openai: + with mock.patch( + "extensions.llms.ollama.pandasai_ollama.ollama.openai.OpenAI" + ) as mock_openai: dummy_client = mock.Mock() dummy_completion = mock.Mock() - dummy_completion.create.return_value = create_response("Dummy response", mode="chat") + dummy_completion.create.return_value = create_response( + "Dummy response", mode="chat" + ) dummy_client.chat.completions = dummy_completion mock_openai.return_value = dummy_client - + llm = OllamaLLM(api_key="dummy") assert llm.type == "ollama" diff --git a/poetry.lock b/poetry.lock index f4b30706e..d84494f9c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. [[package]] name = "annotated-types" @@ -21,7 +21,7 @@ version = "4.5.2" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"}, {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"}, @@ -35,7 +35,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""] trio = ["trio (>=0.26.1)"] [[package]] @@ -206,7 +206,7 @@ files = [ [package.extras] dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"] hard-encoding-detection = ["chardet"] -toml = ["tomli"] +toml = ["tomli ; python_version < \"3.11\""] types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"] [[package]] @@ -215,12 +215,12 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["dev"] -markers = "sys_platform == \"win32\" or platform_system == \"Windows\"" +groups = ["main", "dev"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +markers = {main = "platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""} [[package]] name = "contourpy" @@ -377,7 +377,7 @@ files = [ ] [package.extras] -toml = ["tomli"] +toml = ["tomli ; python_full_version <= \"3.11.0a6\""] [[package]] name = "cycler" @@ -413,7 +413,7 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = false python-versions = ">=3.6" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -487,8 +487,8 @@ version = "1.2.2" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" -groups = ["dev"] -markers = "python_version < \"3.11\"" +groups = ["main", "dev"] +markers = "python_version <= \"3.10\"" files = [ {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, @@ -512,7 +512,7 @@ files = [ [package.extras] docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"] testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"] -typing = ["typing-extensions (>=4.12.2)"] +typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""] [[package]] name = "fonttools" @@ -575,18 +575,18 @@ files = [ ] [package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] +all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres", "pycairo", "scipy"] +interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""] lxml = ["lxml (>=4.0)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] repacker = ["uharfbuzz (>=0.23.0)"] symfont = ["sympy"] -type1 = ["xattr"] +type1 = ["xattr ; sys_platform == \"darwin\""] ufo = ["fs (>=2.2.0,<3)"] -unicode = ["unicodedata2 (>=15.1.0)"] -woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] +unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""] +woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"] [[package]] name = "h11" @@ -594,7 +594,7 @@ version = "0.14.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.7" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, @@ -606,7 +606,7 @@ version = "1.0.7" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"}, {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"}, @@ -628,7 +628,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -641,7 +641,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -694,7 +694,7 @@ files = [ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] 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)"] @@ -737,7 +737,7 @@ version = "0.8.2" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"}, {file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"}, @@ -1136,7 +1136,7 @@ version = "1.60.2" description = "The official Python library for the openai API" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "openai-1.60.2-py3-none-any.whl", hash = "sha256:993bd11b96900b9098179c728026f016b4982ded7ee30dfcf4555eab1171fff9"}, {file = "openai-1.60.2.tar.gz", hash = "sha256:a8f843e10f2855713007f491d96afb2694b11b5e02cb97c7d01a0be60bc5bb51"}, @@ -1207,7 +1207,7 @@ files = [ numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.21.0", markers = "python_version == \"3.10\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -1236,6 +1236,42 @@ sql-other = ["SQLAlchemy (>=1.4.16)"] test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] xml = ["lxml (>=4.6.3)"] +[[package]] +name = "pandasai-ollama" +version = "0.1.0" +description = "Ollama integration for PandaAI" +optional = false +python-versions = ">=3.8,<3.12" +groups = ["main"] +files = [] +develop = true + +[package.dependencies] +openai = "^1.3.7" +pandasai = ">=3.0.0b4" +typing-extensions = "^4.0.0" + +[package.source] +type = "directory" +url = "extensions/llms/ollama" + +[[package]] +name = "pandasai-openai" +version = "0.1.5" +description = "OpenAI integration for PandaAI" +optional = false +python-versions = "<3.12,>=3.8" +groups = ["main"] +files = [ + {file = "pandasai_openai-0.1.5-py3-none-any.whl", hash = "sha256:b96e3f42462d1f83622479fb8e4c68f0515b8207371a6ba37e9e37ef7c7359f5"}, + {file = "pandasai_openai-0.1.5.tar.gz", hash = "sha256:492a36abbf6b4b395cdb13bb4058aa5a24de536882cda27ef5a99a63aa1c36d4"}, +] + +[package.dependencies] +openai = ">=1.3.7,<2.0.0" +pandasai = ">=3.0.0b4" +typing-extensions = ">=4.0.0,<5.0.0" + [[package]] name = "pillow" version = "10.4.0" @@ -1331,7 +1367,7 @@ docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline fpx = ["olefile"] mic = ["olefile"] tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] -typing = ["typing-extensions"] +typing = ["typing-extensions ; python_version < \"3.10\""] xmp = ["defusedxml"] [[package]] @@ -1454,7 +1490,7 @@ typing-extensions = ">=4.12.2" [package.extras] email = ["email-validator (>=2.0.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] [[package]] name = "pydantic-core" @@ -1876,7 +1912,7 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, @@ -1918,7 +1954,7 @@ description = "A lil' TOML parser" optional = false python-versions = ">=3.8" groups = ["dev"] -markers = "python_version < \"3.11\"" +markers = "python_version <= \"3.10\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -1960,7 +1996,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -2013,7 +2049,7 @@ files = [ ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] @@ -2037,7 +2073,7 @@ platformdirs = ">=3.9.1,<5" [package.extras] docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] -test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] [[package]] name = "zipp" @@ -2053,14 +2089,14 @@ files = [ ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] 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"] +test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.8,<3.12" -content-hash = "9fd5b43cddb627731e144406299386cec5b121e558207a6d4057c68e04f748a5" +content-hash = "3c315a31539e2e05048ba3e5c912d98573e5c684e3f8bdd5bcac1282e48acd3f" diff --git a/pyproject.toml b/pyproject.toml index 630bd7a3e..b659ece50 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,8 @@ seaborn = "^0.12.2" sqlglot = "^25.0.3" pyarrow = "^14.0.1" pyyaml = "^6.0.2" +pandasai-openai = "^0.1.5" +pandasai-ollama = "^0.1.0" [tool.poetry.group.dev] optional = true From 9287fc1f60ceae67183f69c30143c76d815ea362 Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 20:07:49 +0100 Subject: [PATCH 4/7] premit-checking and readme for ollama integration and usage --- extensions/llms/ollama/README.md | 4 ---- 1 file changed, 4 deletions(-) diff --git a/extensions/llms/ollama/README.md b/extensions/llms/ollama/README.md index 529a7491d..531fcf8d7 100644 --- a/extensions/llms/ollama/README.md +++ b/extensions/llms/ollama/README.md @@ -1,7 +1,3 @@ -Below is an example of a complete README for your Ollama extension. You can customize details (such as contact information) as needed: - ---- - # PandaAI Ollama LLM Extension This extension integrates Ollama language models with PandaAI. It allows you to use Ollama's LLMs as the backend for generating Python code in response to natural language queries on your dataframes. From b21da05d0b8faa5cc91c948d421d2b20ac096c26 Mon Sep 17 00:00:00 2001 From: CodeAmiche <96678377+Amiche02@users.noreply.github.com> Date: Sun, 2 Mar 2025 20:08:37 +0100 Subject: [PATCH 5/7] Update README.md --- extensions/llms/ollama/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/extensions/llms/ollama/README.md b/extensions/llms/ollama/README.md index 531fcf8d7..beaf91687 100644 --- a/extensions/llms/ollama/README.md +++ b/extensions/llms/ollama/README.md @@ -1,4 +1,4 @@ -# PandaAI Ollama LLM Extension +# PandasAI Ollama LLM Extension This extension integrates Ollama language models with PandaAI. It allows you to use Ollama's LLMs as the backend for generating Python code in response to natural language queries on your dataframes. From babd73dfdc911988c172f815a6dc04f0b3b3decd Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 21:25:50 +0100 Subject: [PATCH 6/7] address review feedback and cleanup tests --- extensions/llms/ollama/README.md | 26 +++++++++++----------- extensions/llms/ollama/tests/test_1.py | 30 -------------------------- 2 files changed, 14 insertions(+), 42 deletions(-) delete mode 100644 extensions/llms/ollama/tests/test_1.py diff --git a/extensions/llms/ollama/README.md b/extensions/llms/ollama/README.md index beaf91687..6eb3858df 100644 --- a/extensions/llms/ollama/README.md +++ b/extensions/llms/ollama/README.md @@ -1,4 +1,4 @@ -# PandasAI Ollama LLM Extension +# PandaAI Ollama LLM Extension This extension integrates Ollama language models with PandaAI. It allows you to use Ollama's LLMs as the backend for generating Python code in response to natural language queries on your dataframes. @@ -53,19 +53,21 @@ You can also override configuration options directly in your code when setting u import pandasai as pai from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM -# Set a dummy API key (for Ollama, the key is required but not used) +# For Ollama, we use a dummy API key ("ollama") since it isn’t used. pai.api_key.set("ollama") -# Override the global configuration with your Ollama settings -pai.config.set({ - "llm": OllamaLLM( - api_key="ollama", # Dummy key - ollama_base_url="http://your-ollama-server:1234", # Custom URL if needed - model="llama3.2:latest", # Specify the model (can be overridden) - temperature=0.7, - max_tokens=150, - ) -}) +# Set the global configuration to use the Ollama LLM +pai.config.set( + { + "llm": OllamaLLM( + api_key="ollama", + ollama_base_url="http://localhost:11434", # Custom URL if needed + model="llama3.2:latest", # Specify the model (can be overridden) + temperature=0.7, + max_tokens=150, + ) + } +) ``` ## Usage diff --git a/extensions/llms/ollama/tests/test_1.py b/extensions/llms/ollama/tests/test_1.py deleted file mode 100644 index f75bc4ff9..000000000 --- a/extensions/llms/ollama/tests/test_1.py +++ /dev/null @@ -1,30 +0,0 @@ -import pandasai as pai -from extensions.llms.ollama.pandasai_ollama.ollama import OllamaLLM - -# Create a sample DataFrame -df = pai.DataFrame( - { - "country": ["United States", "United Kingdom", "France", "Germany", "Italy"], - "revenue": [5000, 3200, 2900, 4100, 2300], - } -) - -# For Ollama, we use a dummy API key ("ollama") since it isn’t used. -pai.api_key.set("ollama") - -# Set the global configuration to use the Ollama LLM -pai.config.set( - { - "llm": OllamaLLM( - api_key="ollama", - ollama_base_url="http://localhost:11434", - model="llama3.2:latest", - temperature=0.7, - max_tokens=150, - ) - } -) - -# Ask the question -response = df.chat("Which are the top 5 countries by sales?") -print("Response from Ollama:", response) From 8bf7387f051f0708038089ea60e57e88e91fa066 Mon Sep 17 00:00:00 2001 From: Stephane Kpoviessi Date: Sun, 2 Mar 2025 21:32:48 +0100 Subject: [PATCH 7/7] address review feedback and cleanup tests --- extensions/llms/ollama/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/extensions/llms/ollama/README.md b/extensions/llms/ollama/README.md index 6eb3858df..5b7e6b8ac 100644 --- a/extensions/llms/ollama/README.md +++ b/extensions/llms/ollama/README.md @@ -42,8 +42,8 @@ You can configure the extension by setting the following environment variables: *Default:* `ollama` - **`OLLAMA_BASE_URL`** - The base URL for your Ollama API server. The extension ensures that the URL ends with `/v1`. - *Default:* `http://localhost:11434` + Supports a customizable base URL (normalized to end with `/v1`) and flexible model parameters (e.g., temperature, max_tokens).. + *Default format to set:* `http://localhost:11434` ### Code-Based Configuration