From 217fda12233e78966a21fc715f7f818274011d8b Mon Sep 17 00:00:00 2001 From: Artyom Maisiuk Date: Mon, 24 Feb 2025 14:42:09 +0300 Subject: [PATCH] add: publissh feats, fix: charts, naming --- .github/pull_request_template.md | 7 + .github/workflows/run-unit-tests.yml | 38 + .gitignore | 3 +- README.md | 33 +- examples/example_ci_cd.ipynb | 160 + lamoom_cicd/__init__.py | 4 +- .../prompts}/prompt_compare_results.py | 0 .../prompts}/prompt_generate_facts.py | 0 lamoom_cicd/test_llm_response.py | 44 +- poetry.lock | 2581 +++++++++++++++++ pyproject.toml | 13 +- tests/test_cicd.py | 18 +- tests/test_csv_visualize.py | 8 +- tests/test_data.csv | 4 +- 14 files changed, 2861 insertions(+), 52 deletions(-) create mode 100644 .github/pull_request_template.md create mode 100644 .github/workflows/run-unit-tests.yml create mode 100644 examples/example_ci_cd.ipynb rename {prompts => lamoom_cicd/prompts}/prompt_compare_results.py (100%) rename {prompts => lamoom_cicd/prompts}/prompt_generate_facts.py (100%) create mode 100644 poetry.lock diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 0000000..cf9f1fe --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,7 @@ +## Context +Bullet list of changes + +## Checklist +- [ ] Self-Review +- [ ] Added Tests for functionality +- [ ] Did you need to update Readme? \ No newline at end of file diff --git a/.github/workflows/run-unit-tests.yml b/.github/workflows/run-unit-tests.yml new file mode 100644 index 0000000..7a9c347 --- /dev/null +++ b/.github/workflows/run-unit-tests.yml @@ -0,0 +1,38 @@ +name: run-unit-tests + +on: push + +jobs: + test: + runs-on: ubuntu-22.04 + container: python:3.11-slim + steps: + - name: Checkout code + uses: actions/checkout@v3 + + - name: 'Create env file' + run: | + touch .env + echo OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }} >> .env + + - name: Install dependencies + run: | + apt-get update && apt-get install -y curl build-essential + + - name: Install Poetry + run: pip install poetry + + - name: Install Python + uses: actions/setup-python@v3 + with: + python-version: 3.11 + cache: poetry + + - name: Install Python libraries + run: poetry install + + - name: Run tests with coverage + run: poetry run pytest --cache-clear -vv tests \ + --cov=lamoom_cicd \ + --cov-fail-under=80 \ + --cov-report term-missing diff --git a/.gitignore b/.gitignore index c3e4f0c..769e39d 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,5 @@ __pycache__ *.py[cod] .pytest_cache -.vscode \ No newline at end of file +.vscode +dist \ No newline at end of file diff --git a/README.md b/README.md index 6560cd1..606bee9 100644 --- a/README.md +++ b/README.md @@ -11,8 +11,8 @@ This tool allows you to evaluate how well your LLM responses match an ideal answ "Blockchain is like a digital ledger that everyone can see but no one can change." ``` -- **llm_response (optional):** - Your LLM's response. If prompt is provided in `optional_params`, `llm_response` can be left as `None`. +- **llm_response (required):** + Your LLM's response. - **optional_params (optional):** A JSON-like dictionary that may include extra details for the test. It has the following structure: @@ -32,22 +32,25 @@ This tool allows you to evaluate how well your LLM responses match an ideal answ ### 1. Manual Testing -You can manually call the `compare()` method by passing the required `ideal_answer` and (optionally) `llm_response` and `optional_params`. Each call will automatically accumulate the test results based on the provided (or default) `prompt_id`. +You can manually call the `compare()` method by passing the required `ideal_answer` and `llm_response` and (optionally) `optional_params`. Each call will automatically accumulate the test results based on the provided (or default) `prompt_id` from `optional_params`. **Example:** ```python +from lamoom_cicd import TestLLMResponsePipe +import time + ideal_answer = ( "Blockchain is like a digital notebook that everyone can see, but no one can secretly change. " "Imagine a shared Google Doc where every change is recorded forever, and no one can edit past entries." ) optional_params = { - "prompt": "Explain the concept of blockchain to someone with no technical background." + "prompt_id": f"test-{time.now()}" } -test_response = TestLLMResponse(openai_key=os.environ.get("OPENAI_KEY")) +lamoom_pipe = TestLLMResponsePipe(openai_key=os.environ.get("OPENAI_KEY")) # When llm_response is not passed, it defaults to None. -result = test_response.compare(ideal_answer, optional_params=optional_params) +result = lamoom_pipe.compare(ideal_answer, "Your LLM response here", optional_params=optional_params) # Print individual question details for question in result.questions: @@ -62,25 +65,25 @@ print(result.score.to_dict()) You can also pass multiple test cases using a CSV file. The CSV file should contain the following columns: - **ideal_answer:** (Required) The ideal answer text. +- **llm_response:** (Required) LLM response to compare with. - **optional_params:** (Optional) A JSON string containing the optional parameters. -- **llm_response:** (Optional) If not provided, this value is set to `None`. Multiple rows can be included, and you can use different `prompt_id` values to test various prompts. **Example CSV Content:** +IMPORTANT: take notice of double quotes when putting json in a csv file! ```csv -ideal_answer,optional_params,llm_response -"Blockchain is a secure, immutable digital ledger.","{\"prompt\": \"Explain blockchain simply.\", \"prompt_id\": \"simple_blockchain\"}", -"Blockchain is like a shared Google Doc that records every change.","{\"prompt\": \"Describe blockchain in simple terms.\", \"prompt_id\": \"google_doc_blockchain\"}", +ideal_answer,llm_response, optional_params +"blockchain_prompt","Blockchain is a secure, immutable digital ledger.","Blockchain is like a shared Google Doc that records every change.","{""prompt_id"": ""google_doc_blockchain""}", ``` **Usage Example:** ```python csv_file_path = "test_data.csv" -test_response = TestLLMResponse(openai_key=os.environ.get("OPENAI_KEY")) -accumulated_results = test_response.compare_from_csv(csv_file_path) +lamoom_pipe = TestLLMResponsePipe(openai_key=os.environ.get("OPENAI_KEY")) +accumulated_results = lamoom_pipe.compare_from_csv("test_prompt", csv_file_path) ``` ### 3. Visualizing Test Scores @@ -90,15 +93,15 @@ After running tests (whether manually or using a CSV), the results are automatic **Example:** ```python -visualize_test_results(accumulated_results) +lamoom_pipe.visualize_test_results() ``` This function will generate a line chart with the x-axis representing the test instance number (as integers) and the y-axis representing the score percentage. Each line on the chart corresponds to a different `prompt_id`. ## Summary -- **ideal_answer** is the only required parameter. -- **llm_response** and **optional_params** are optional, with `optional_params` offering extra configuration (like a custom prompt and a unique `prompt_id`). +- **ideal_answer**, **llm_response** are required parameters. +- **optional_params** are optional, with `optional_params` offering extra configuration (like a custom prompt and a unique `prompt_id` for tests). - You can compare responses either manually or via CSV (which supports multiple test cases). - The tool accumulates results for each `prompt_id` across multiple calls. - Use the visualization function to see your test scores on an easy-to-read chart. diff --git a/examples/example_ci_cd.ipynb b/examples/example_ci_cd.ipynb new file mode 100644 index 0000000..74d49c9 --- /dev/null +++ b/examples/example_ci_cd.ipynb @@ -0,0 +1,160 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "4w_ZNZ46ddtF" + }, + "outputs": [], + "source": [ + "%pip install lamoom-cicd==0.1.4" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "-5T7WYDOjrWD" + }, + "outputs": [], + "source": [ + "from lamoom_cicd import TestLLMResponsePipe" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "czcr362ntVl0" + }, + "source": [ + "# Initialize your `ideal_answer`, `llm_response` and `optional_params`" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "Q_wAswxetVHx" + }, + "outputs": [], + "source": [ + "ideal_answer = \"\"\"Blockchain is like a digital notebook that everyone can see\n", + " but no one can secretly change. Imagine a shared Google Doc where every change\n", + " is recorded forever, and no one can erase or edit past entries.\n", + " Instead of one company controlling it, thousands of computers around\n", + " the world keep copies, making it nearly impossible to hack or fake.\n", + " This is why it’s used for things like Bitcoin—to keep transactions\n", + " secure and transparent without needing a bank in the middle.\"\"\"\n", + "\n", + "llm_response = \"\"\"Blockchain is like a shared digital notebook where everyone has a copy.\n", + "New records (blocks) are added in order and can’t be changed or erased.\n", + "Each block is securely locked with a code, and everyone in the network must agree\n", + "before adding new information. This makes blockchain transparent, secure, and\n", + "tamper-proof, which is why it's used for things like cryptocurrency, secure transactions,\n", + "and digital contracts.\"\"\"\n", + "\n", + "optional_params = {'prompt_id': \"blockchain_prompt\"}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WwOpSoELtkmr" + }, + "source": [ + "# Initialize `TestLLMResponsePipe`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "D-PX2WGWtkQY" + }, + "outputs": [], + "source": [ + "# Works with openai, azure, gemini, claude and nebibus keys\n", + "lamoom_pipe = TestLLMResponsePipe(threshold=75, openai_key=\"your_key\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "wnFqAK5Ys8Cz" + }, + "source": [ + "# 1. Manual Testing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "b0EdE8A_jjos" + }, + "outputs": [], + "source": [ + "result = lamoom_pipe.compare(ideal_answer, llm_response, optional_params=optional_params)\n", + "\n", + "print(result.score.to_dict())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cspAD9xotFCM" + }, + "source": [ + "# 2. Testing with CSV" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "E8W2tCSVtIqr" + }, + "outputs": [], + "source": [ + "results = lamoom_pipe.compare_from_csv(\"your_csv_file_path\")\n", + "for result in results:\n", + " print(result.score.to_dict())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "D0qbJXRMt5EG" + }, + "source": [ + "# 3. Visualize your test results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ycbh9-_iq5as" + }, + "outputs": [], + "source": [ + "lamoom_pipe.visualize_test_results()" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/lamoom_cicd/__init__.py b/lamoom_cicd/__init__.py index e4f6238..9bbb8ea 100644 --- a/lamoom_cicd/__init__.py +++ b/lamoom_cicd/__init__.py @@ -1,3 +1,3 @@ -from .test_llm_response import TestLLMResponse +from .test_llm_response import TestLLMResponsePipe -__all__ = ["TestLLMResponse"] \ No newline at end of file +__all__ = ["TestLLMResponsePipe"] \ No newline at end of file diff --git a/prompts/prompt_compare_results.py b/lamoom_cicd/prompts/prompt_compare_results.py similarity index 100% rename from prompts/prompt_compare_results.py rename to lamoom_cicd/prompts/prompt_compare_results.py diff --git a/prompts/prompt_generate_facts.py b/lamoom_cicd/prompts/prompt_generate_facts.py similarity index 100% rename from prompts/prompt_generate_facts.py rename to lamoom_cicd/prompts/prompt_generate_facts.py diff --git a/lamoom_cicd/test_llm_response.py b/lamoom_cicd/test_llm_response.py index bdd2399..4357729 100644 --- a/lamoom_cicd/test_llm_response.py +++ b/lamoom_cicd/test_llm_response.py @@ -6,8 +6,8 @@ from collections import defaultdict import matplotlib.pyplot as plt -from prompts.prompt_generate_facts import agent as generate_facts_agent -from prompts.prompt_compare_results import agent as compare_results_agent +from lamoom_cicd.prompts.prompt_generate_facts import agent as generate_facts_agent +from lamoom_cicd.prompts.prompt_compare_results import agent as compare_results_agent from lamoom_cicd.responses import Question, TestResult, Score from lamoom_cicd.exceptions import GenerateFactsException @@ -31,7 +31,7 @@ @dataclass(kw_only=True) -class TestLLMResponse: +class TestLLMResponsePipe: lamoom_token: str = None openai_key: str = None azure_keys: dict = None @@ -70,7 +70,7 @@ def calculate_score(self, test_results: dict, threshold: int) -> Score: return Score(score, passed) def compare(self, ideal_answer: str, - llm_response: str = None, + llm_response: str, optional_params: dict = None) -> TestResult: lamoom = Lamoom(openai_key=self.openai_key, api_token=self.lamoom_token) @@ -80,21 +80,22 @@ def compare(self, ideal_answer: str, result = get_json_from_response(response).parsed_content statements, questions = result.get("statements"), result.get("questions") generated_test = json.dumps(self.get_generated_test(statements, questions)) - + user_prompt_response = llm_response + prompt_id = "user_prompt" if optional_params is not None: - # Call user's LLM prompt - user_prompt_content = optional_params.get('prompt', None) - user_context = optional_params.get('context', {}) - if user_prompt_content is None: - # Sync with Service and fetch online prompt - user_prompt = lamoom.get_prompt(prompt_id=optional_params.get('prompt_id')) - else: - user_prompt = PipePrompt(id="user_prompt") - user_prompt.add(user_prompt_content) - user_result = lamoom.call(user_prompt.id, user_context, default_behaviour) - user_prompt_response = user_result.content - else: - user_prompt_response = llm_response + logger.info(optional_params) + prompt_id = optional_params.get('prompt_id', "user_prompt") + # TODO: Service CI/CD Logic + # user_prompt_content = optional_params.get('prompt', None) + # user_context = optional_params.get('context', {}) + # if user_prompt_content is None: + # # Sync with Service and fetch online prompt + # user_prompt = lamoom.get_prompt(prompt_id=optional_params.get('prompt_id')) + # else: + # user_prompt = PipePrompt(id="user_prompt") + # user_prompt.add(user_prompt_content) + # user_result = lamoom.call(user_prompt.id, user_context, default_behaviour) + # user_prompt_response = user_result.content # Compare results comparison_context = { @@ -112,8 +113,11 @@ def compare(self, ideal_answer: str, ] score = self.calculate_score(test_results, self.threshold) + + test_result = TestResult(prompt_id=prompt_id, questions=questions_list, score=score) + self.accumulated_results.append(test_result) - return TestResult(prompt_id=user_prompt.id, questions=questions_list, score=score) + return test_result def compare_from_csv(self, csv_file: str) -> list[TestResult]: @@ -129,7 +133,7 @@ def compare_from_csv(self, csv_file: str) -> list[TestResult]: for row in test_cases: ideal_answer = row.get("ideal_answer") llm_response = row.get("llm_response") - optional_params = json.loads(row.get("optional_params")) + optional_params = row.get("optional_params") test_result = self.compare(ideal_answer, llm_response, optional_params) self.accumulated_results.append(test_result) results.append(test_result) diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 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["pytest-mypy"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.11" +content-hash = "e03a3a042ba40402441c484e9334ff611212cc9d60921335d90ec4f6c50fa761" diff --git a/pyproject.toml b/pyproject.toml index cc33601..3dfe787 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,17 +1,22 @@ [tool.poetry] -name = "lamoomcicd" -version = "0.1.0" +name = "lamoom-cicd" +version = "0.1.4" description = "Library to test prompt quality" -authors = ["Artyom Maisiuk "] +authors = ["Lamoom Engineering Team "] readme = "README.md" [tool.poetry.dependencies] python = "^3.11" lamoom = "^0.1.33" -dotenv = "^0.9.9" matplotlib = "^3.10.0" pandas = "^2.2.3" +[tool.poetry.dev-dependencies] +pytest = "^7.1.2" +pytest-cov = "^3.0.0" +python-dotenv = "^1.0.1" +twine = "^5.0.0" + [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" diff --git a/tests/test_cicd.py b/tests/test_cicd.py index 1a84bd6..114cd28 100644 --- a/tests/test_cicd.py +++ b/tests/test_cicd.py @@ -1,4 +1,4 @@ -from lamoom_cicd import TestLLMResponse +from lamoom_cicd import TestLLMResponsePipe import os import dotenv @@ -12,10 +12,20 @@ def test_compare(): the world keep copies, making it nearly impossible to hack or fake. This is why it’s used for things like Bitcoin—to keep transactions secure and transparent without needing a bank in the middle.""" - optional_params = {'prompt': "Explain the concept of blockchain to someone with no technical background."} - test_response = TestLLMResponse(openai_key=os.environ.get("OPENAI_KEY")) - result = test_response.compare(ideal_answer, optional_params=optional_params) + llm_response = """Blockchain is like a shared digital notebook where everyone has a copy. + New records (blocks) are added in order and can’t be changed or erased. + Each block is securely locked with a code, and everyone in the network must agree + before adding new information. This makes blockchain transparent, secure, and + tamper-proof, which is why it's used for things like cryptocurrency, secure transactions, + and digital contracts.""" + + optional_params = {'prompt_id': "blockchain_prompt"} + lamoom_pipe = TestLLMResponsePipe(openai_key=os.environ.get("OPENAI_KEY")) + result = lamoom_pipe.compare(ideal_answer, llm_response, optional_params=optional_params) + + lamoom_pipe.visualize_test_results() + assert 'score' in result.score.to_dict() assert 'passed' in result.score.to_dict() \ No newline at end of file diff --git a/tests/test_csv_visualize.py b/tests/test_csv_visualize.py index 6a5476a..e7d3cbd 100644 --- a/tests/test_csv_visualize.py +++ b/tests/test_csv_visualize.py @@ -1,14 +1,14 @@ -from lamoom_cicd import TestLLMResponse +from lamoom_cicd import TestLLMResponsePipe import os import dotenv dotenv.load_dotenv(dotenv.find_dotenv()) def test_csv_compare(): - test_response = TestLLMResponse(threshold=70, openai_key=os.environ.get("OPENAI_KEY")) - results = test_response.compare_from_csv("tests/test_data.csv") + lamoom_pipe = TestLLMResponsePipe(threshold=70, openai_key=os.environ.get("OPENAI_KEY")) + results = lamoom_pipe.compare_from_csv("tests/test_data.csv") - test_response.visualize_test_results() + lamoom_pipe.visualize_test_results() assert 'score' in results[0].score.to_dict() assert 'passed' in results[0].score.to_dict() \ No newline at end of file diff --git a/tests/test_data.csv b/tests/test_data.csv index fe6ba6f..53a508b 100644 --- a/tests/test_data.csv +++ b/tests/test_data.csv @@ -1,2 +1,2 @@ -ideal_answer,optional_params -"Blockchain is like a digital notebook that everyone can see but no one can secretly change. Imagine a shared Google Doc where every change is recorded forever, and no one can erase or edit past entries. Instead of one company controlling it, thousands of computers around the world keep copies, making it nearly impossible to hack or fake. This is why it’s used for things like Bitcoin—to keep transactions secure and transparent without needing a bank in the middle.", "{\"prompt\": \"Explain blockchain to someone with no technical background.\"}" \ No newline at end of file +ideal_answer,llm_response,optional_params +"Blockchain is like a digital notebook that everyone can see but no one can secretly change. Imagine a shared Google Doc where every change is recorded forever, and no one can erase or edit past entries. Instead of one company controlling it, thousands of computers around the world keep copies, making it nearly impossible to hack or fake. This is why it’s used for things like Bitcoin—to keep transactions secure and transparent without needing a bank in the middle.","Blockchain is like a shared digital notebook where everyone has a copy. New records (blocks) are added in order and can’t be changed or erased. Each block is securely locked with a code, and everyone in the network must agree before adding new information. This makes blockchain transparent, secure, and tamper-proof, which is why it's used for things like cryptocurrency, secure transactions, and digital contracts.","{""prompt_id"": ""blockchain_prompt""}" \ No newline at end of file