diff --git a/orionagent/agents.py b/orionagent/agents.py index 8b19fb0..f2bebd7 100644 --- a/orionagent/agents.py +++ b/orionagent/agents.py @@ -1,11 +1,13 @@ import ast +import textwrap import json import os +import re # import openai from openai import OpenAI -from orionagent.rag.embeddings import find_similar +from rag.embeddings import find_similar, load_embeddings TEMPLATE = """ Orion is a python library for time series anomaly detection. @@ -44,6 +46,8 @@ def __init__(self, model: str = 'gpt-4o-mini', client: OpenAI = None, system_pro self.client = client self.system_prompt = system_prompt + self.rag_table = load_embeddings(path='../embeddings.pkl') + print('What can I help you with today?') def run(self, prompt: str) -> str: @@ -57,7 +61,8 @@ def run(self, prompt: str) -> str: return response.choices[0].message.content def run_rag(self, user_task: str) -> str: - similar_documents = find_similar(user_task, k=3) + + similar_documents = find_similar(user_task, table=self.rag_table, openai_client = self.client, k=3) documents = [ f'DOCUMENT #{i+1}: {doc}' for i, doc in enumerate(similar_documents) ] @@ -83,10 +88,42 @@ def __init__(self, llm: LLM, name: str): self.name = name def ask_user(self, question: str) -> str: - print('Asking user...') + # print('Asking user...') response = input(question) return response - + + +def normalize_generated_code(code: str) -> str: + # Remove ```python or ``` at the start, and closing `` + code = re.sub(r'^```(?:python)?\s*|\s*```$', '', code.strip(), flags=re.MULTILINE) + + # Replace common invisible unicode with plain space + code = code.replace('\u00A0', ' ') # non-breaking space + code = code.replace('\u200B', '') # zero-width space + code = code.replace('\ufeff', '') # BOM + + # Normalize line endings and remove leading/trailing space + code = code.replace('\r\n', '\n').replace('\r', '\n') + code = textwrap.dedent(code) + code = code.strip() + + # Remove leading blank lines + code = re.sub(r'^\s*\n', '', code, flags=re.MULTILINE) + + # Make sure it ends with a newline (optional) + if not code.endswith('\n'): + code += '\n' + + + return code + +def is_code_valid(code: str) -> bool: + try: + ast.parse(code) + return True + except SyntaxError as e: + print(f"SyntaxError: {e}") + return False def execute_code(code: str, variable_name: str) -> bool: """Execute code block. @@ -108,20 +145,22 @@ def execute_code(code: str, variable_name: str) -> bool: If the code is not executable. """ try: - ast.parse(code) # check syntax, throws a SyntaxError - + code = normalize_generated_code(code) + is_code_valid(code) # Execute the code and capture the output print('trying') exec_globals = {} exec_locals = {} exec(code, exec_globals, exec_locals) + + print('executed successfully') result = exec_locals.get(variable_name, None) return True, result except Exception as ex: print(f'error {ex}') - return False + return False, None if __name__ == '__main__': diff --git a/orionagent/app.py b/orionagent/app.py index a18087b..d166b87 100644 --- a/orionagent/app.py +++ b/orionagent/app.py @@ -5,7 +5,10 @@ import streamlit as st from plot import generate_time_series_chart, plot_dataframe -from agents import execute_code +from agents import execute_code, OpenAILLM + +import asyncio +asyncio.set_event_loop(asyncio.new_event_loop()) st.title("Orion Agent") @@ -74,10 +77,28 @@ response = f"The number of rows in the uploaded CSV file is {len(df)}" st.write(response) - elif 'code' in prompt.lower(): - response = "Executing code" - x = execute_code("x = 'hello'", 'x') - st.write(x) + elif 'detect anomalies' in prompt.lower(): + anomaly_detector = OpenAILLM(client=client) + + if uploaded_file: + prompt += f'Load the dataframe using csv file : {uploaded_file} ' + + st.write('Generating code to perform rag task') + response_code = anomaly_detector.run_rag(prompt) + with st.expander("View generated code and execution status"): + st.write(response_code) + + st.write('Executing code') + status, anomalies = execute_code(response_code, 'anomalies') + st.write("execution success", status) + + if len(anomalies): + st.write('Detected anomalies') + st.write(anomalies) + else: + st.write('No anomalies detected') + response = anomalies + else: stream = client.chat.completions.create( diff --git a/orionagent/rag/embeddings.py b/orionagent/rag/embeddings.py index d04a82e..cc84278 100644 --- a/orionagent/rag/embeddings.py +++ b/orionagent/rag/embeddings.py @@ -1,5 +1,7 @@ import os import pickle +import streamlit as st + import tiktoken import numpy as np @@ -48,7 +50,7 @@ def generate_embeddings(openai_key, path='orion_contents/', model="text-embeddin continue name = file.split('/')[-1] - print(file) + # print(file) with open(os.path.join(root, file), 'r') as f: data = f.read() @@ -94,20 +96,20 @@ def format_into_table(embeddings): def load_embeddings(path='embeddings.pkl'): - with open('embeddings.pkl', 'rb') as f: + with open(path, 'rb') as f: embeddings = pickle.load(f) table = format_into_table(embeddings) return table -def find_similar(text, table, openai_key, distance=CosineSimilarity, k=5): +def find_similar(text, openai_client, table=None, distance=CosineSimilarity, k=5): """Return top similar documents.""" + sim = distance(dim=0) sim_table = table.copy() - client = OpenAI(api_key=openai_key) - embedding = get_embedding(text, client) + embedding = get_embedding(text, openai_client) embedding = torch.tensor(embedding.data[0].embedding) sim_table['similarity'] = sim_table['embedding'].apply(lambda x: sim(torch.tensor(x), embedding)) @@ -115,7 +117,7 @@ def find_similar(text, table, openai_key, distance=CosineSimilarity, k=5): topk = sim_table.iloc[:k]['text'] for i, document in enumerate(topk): print(f'DOCUMENT #{i+1}:\n') - print(document) + # print(document) return topk diff --git a/poetry.lock b/poetry.lock index fcd54e6..f1e7bbe 100644 --- a/poetry.lock +++ b/poetry.lock @@ -7,36 +7,12 @@ description = "Abseil Python Common Libraries, see https://github.com/abseil/abs optional = false python-versions = ">=3.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, ] -[[package]] -name = "altair" -version = "5.4.1" -description = "Vega-Altair: A declarative statistical visualization library for Python." -optional = false -python-versions = ">=3.8" -groups = ["main"] -markers = "python_version == \"3.8\"" -files = [ - {file = "altair-5.4.1-py3-none-any.whl", hash = "sha256:0fb130b8297a569d08991fb6fe763582e7569f8a04643bbd9212436e3be04aef"}, - {file = "altair-5.4.1.tar.gz", hash = "sha256:0ce8c2e66546cb327e5f2d7572ec0e7c6feece816203215613962f0ec1d76a82"}, -] - -[package.dependencies] -jinja2 = "*" -jsonschema = ">=3.0" -narwhals = ">=1.5.2" -packaging = "*" -typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""} - -[package.extras] -all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "numpy", "pandas (>=0.25.3)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.6.0)"] -dev = ["geopandas", "hatch", "ibis-framework[polars]", "ipython[kernel]", "mistune", "mypy", "pandas (>=0.25.3)", "pandas-stubs", "polars (>=0.20.3)", "pytest", "pytest-cov", "pytest-xdist[psutil] (>=3.5,<4.0)", "ruff (>=0.6.0)", "types-jsonschema", "types-setuptools"] -doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"] - [[package]] name = "altair" version = "5.5.0" @@ -44,7 +20,7 @@ description = "Vega-Altair: A declarative statistical visualization library for optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.9\"" +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "altair-5.5.0-py3-none-any.whl", hash = "sha256:91a310b926508d560fe0148d02a194f38b824122641ef528113d029fcd129f8c"}, {file = "altair-5.5.0.tar.gz", hash = "sha256:d960ebe6178c56de3855a68c47b516be38640b73fb3b5111c2a9ca90546dd73d"}, @@ -70,38 +46,12 @@ description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" 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 == \"3.8\"" -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) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""] -trio = ["trio (>=0.26.1)"] - [[package]] name = "anyio" version = "4.8.0" @@ -109,7 +59,7 @@ description = "High level compatibility layer for multiple asynchronous event lo optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.9\"" +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"}, {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"}, @@ -133,6 +83,7 @@ description = "An AST unparser for Python" optional = false python-versions = "*" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"}, {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"}, @@ -149,6 +100,7 @@ description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"}, {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"}, @@ -169,6 +121,7 @@ description = "Microsoft Azure Cognitive Services Anomaly Detector Client Librar optional = false python-versions = "*" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "azure-cognitiveservices-anomalydetector-0.3.1.tar.gz", hash = "sha256:40f1c9526b156ad8b109bb2a999e6b5134227e2a2c908a0c3281c45d3982f33c"}, {file = "azure_cognitiveservices_anomalydetector-0.3.1-py2.py3-none-any.whl", hash = "sha256:f96c5c03db4b3dd83c5a92a6ec0234cefcf51c866a4f0fa68f698fc877973703"}, @@ -186,6 +139,7 @@ description = "Microsoft Azure Client Library for Python (Common)" optional = false python-versions = "*" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"}, {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"}, @@ -198,6 +152,7 @@ description = "Microsoft Azure Core Library for Python" optional = false python-versions = ">=3.8" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "azure_core-1.32.0-py3-none-any.whl", hash = "sha256:eac191a0efb23bfa83fddf321b27b122b4ec847befa3091fa736a5c32c50d7b4"}, {file = "azure_core-1.32.0.tar.gz", hash = "sha256:22b3c35d6b2dae14990f6c1be2912bf23ffe50b220e708a28ab1bb92b1c730e5"}, @@ -218,6 +173,7 @@ description = "Microsoft Azure Management Core Library for Python" optional = false python-versions = ">=3.8" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "azure_mgmt_core-1.5.0-py3-none-any.whl", hash = "sha256:18aaa5a723ee8ae05bf1bfc9f6d0ffb996631c7ea3c922cc86f522973ce07b5f"}, {file = "azure_mgmt_core-1.5.0.tar.gz", hash = "sha256:380ae3dfa3639f4a5c246a7db7ed2d08374e88230fd0da3eb899f7c11e5c441a"}, @@ -226,19 +182,6 @@ files = [ [package.dependencies] azure-core = ">=1.31.0" -[[package]] -name = "blinker" -version = "1.8.2" -description = "Fast, simple object-to-object and broadcast signaling" -optional = false -python-versions = ">=3.8" -groups = ["main"] -markers = "python_version == \"3.8\"" -files = [ - {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"}, - {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"}, -] - [[package]] name = "blinker" version = "1.9.0" @@ -246,7 +189,7 @@ description = "Fast, simple object-to-object and broadcast signaling" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.9\"" +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"}, {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"}, @@ -254,26 +197,24 @@ files = [ [[package]] name = "botocore" -version = "1.37.3" +version = "1.29.76" description = "Low-level, data-driven core of boto 3." optional = false -python-versions = ">=3.8" +python-versions = ">= 3.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ - 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Open, modern and activ optional = false python-versions = ">=3.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"}, {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"}, @@ -488,6 +433,7 @@ description = "Composable command line interface toolkit" optional = false python-versions = ">=3.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"}, @@ -516,7 +462,7 @@ description = "cryptography is a package which provides cryptographic recipes an optional = false python-versions = ">=3.7" groups = ["main"] -markers = "python_version == \"3.9\"" +markers = "python_version == \"3.9\" or platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version < \"3.10\"" files = [ {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"}, {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"}, @@ -567,7 +513,7 @@ description = "cryptography is a package which provides cryptographic recipes an optional = false python-versions = "!=3.9.0,!=3.9.1,>=3.7" groups = ["main"] -markers = "python_version == \"3.8\" or python_version > \"3.9\"" +markers = "python_version >= \"3.10\"" files = [ {file = "cryptography-44.0.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf688f615c29bfe9dfc44312ca470989279f0e94bb9f631f85e3459af8efc009"}, {file = "cryptography-44.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd7c7e2d71d908dc0f8d2027e1604102140d84b155e658c20e8ad1304317691f"}, @@ -622,6 +568,7 @@ description = "Python @deprecated decorator to deprecate old python classes, fun optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"}, {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"}, @@ -640,6 +587,7 @@ description = "Distro - 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built-package format for Python" optional = false python-versions = ">=3.8" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, @@ -4917,6 +3826,7 @@ description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\"" files = [ {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"}, {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"}, @@ -5001,6 +3911,7 @@ 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[[package]] name = "zipp" version = "3.21.0" @@ -5062,7 +3953,7 @@ description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version == \"3.9\"" +markers = "python_version == \"3.9\" or platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version < \"3.10\"" files = [ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, @@ -5078,5 +3969,5 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" -python-versions = "^3.8,<3.12,!=3.9.7" -content-hash = "90de93e9625f163408293266909f6a995db27b1ce09795f2d1d00003ac1b9d97" +python-versions = "^3.9,<3.12,!=3.9.7" +content-hash = "e59a6c5b157fc9893d4ba66cd7c2bdf5d27839141bbc363226d4e64bb2e5c618" diff --git a/pyproject.toml b/pyproject.toml index de5e359..5f41e2b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,7 @@ homepage = 'https://github.com/sintel-dev/Orion-Agent' [tool.poetry.dependencies] -python = "^3.8,<3.12,!=3.9.7" +python = "^3.9,<3.12,!=3.9.7" orion-ml = "^0.6.0,<0.8" openai = "^1.46.0" @@ -37,6 +37,9 @@ plotly = "^5.24.1" streamlit = "^1.39.0" tiktoken = "^0.7.0" PyGithub = "^2.4.0" # for document collection +botocore = "1.29.76" +torch = "2.2.2" +tensorflow-macos = "2.14.1" [build-system]