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3 commits
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181bc92884
Author | SHA1 | Date | |
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181bc92884 | |||
e43f81df39 | |||
e8c7600ed7 |
137
notebooks/tasks.ipynb
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137
notebooks/tasks.ipynb
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|
@ -0,0 +1,137 @@
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|||
{
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||||
"cells": [
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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||||
"outputs": [],
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"source": [
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||||
"from hellocomputer.config import settings\n",
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"from langchain_core.utils.function_calling import convert_to_openai_function\n",
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"import openai\n",
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"from operator import itemgetter"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_core.tools import tool\n",
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"\n",
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"\n",
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"@tool\n",
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"def add(a: int, b: int) -> int:\n",
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" \"\"\"Adds a and b.\"\"\"\n",
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" return a + b\n",
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"\n",
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"\n",
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"@tool\n",
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"def multiply(a: int, b: int) -> int:\n",
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" \"\"\"Multiplies a and b.\"\"\"\n",
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" return a * b\n",
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"\n",
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"\n",
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"tools = [convert_to_openai_function(t) for t in [add, multiply]]\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"tools_fmt = [\n",
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" {\"type\": \"function\",\n",
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" \"function\": tools[0]},\n",
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" {\"type\": \"function\",\n",
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" \"function\": tools[1]}\n",
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"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"messages = [\n",
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" {\"role\": \"system\", \"content\": \"You are helpful assistant.\"},\n",
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" {\"role\": \"user\", \"content\": \"What is 2 + 2?\"},\n",
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"]\n",
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"\n",
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"client = openai.OpenAI(\n",
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" base_url = \"https://api.endpoints.anyscale.com/v1\",\n",
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" api_key = settings.anyscale_api_key\n",
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")\n",
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"\n",
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"response = client.chat.completions.create(\n",
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" model=\"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n",
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" messages=messages,\n",
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" tools=tools_fmt,\n",
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" tool_choice=\"auto\", # auto is default, but we'll be explicit\n",
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")\n",
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"\n",
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"get_args = itemgetter(\"arguments\")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"outputs": [],
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"source": [
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"call = response.choices[0].message.tool_calls[0].function"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"5"
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]
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},
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"add.func(2,3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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@ -6,9 +6,12 @@ pydantic-settings
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s3fs
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aiofiles
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duckdb
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duckdb-engine
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polars
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pyarrow
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pyjwt[crypto]
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python-multipart
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authlib
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itsdangerous
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sqlalchemy
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openai
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@ -1,7 +1,7 @@
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from enum import StrEnum
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from pathlib import Path
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import duckdb
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from sqlalchemy import create_engine, text
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class StorageEngines(StrEnum):
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@ -19,11 +19,13 @@ class DDB:
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bucket: str | None = None,
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**kwargs,
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):
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self.db = duckdb.connect()
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self.db.install_extension("spatial")
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self.db.install_extension("httpfs")
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self.db.load_extension("spatial")
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self.db.load_extension("httpfs")
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self.engine = create_engine(
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"duckdb:///:memory:",
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connect_args={
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"preload_extensions": ["https", "spatial"],
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"config": {"memory_limit": "300mb"},
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},
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)
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self.sheets = tuple()
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self.loaded = False
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@ -35,12 +37,18 @@ class DDB:
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bucket is not None,
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)
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):
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self.db.sql(f"""
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with self.engine.connect() as conn:
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conn.execute(
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text(
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f"""
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CREATE SECRET (
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TYPE GCS,
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KEY_ID '{gcs_access}',
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SECRET '{gcs_secret}')
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""")
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"""
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)
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)
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self.path_prefix = f"gcs://{bucket}"
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else:
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raise ValueError(
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@ -55,3 +63,7 @@ class DDB:
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raise ValueError(
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"With local storage you need to provide the path keyword argument"
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)
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@property
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def db(self):
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return self.engine.raw_connection()
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@ -6,7 +6,7 @@ from typing_extensions import Self
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from hellocomputer.db import StorageEngines
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from .db import DDB
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from . import DDB
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class SessionDB(DDB):
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@ -149,7 +149,7 @@ class SessionDB(DDB):
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)
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@property
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def schema(self):
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def schema(self) -> str:
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return os.linesep.join(
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[
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"The schema of the database is the following:",
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@ -8,7 +8,7 @@ from uuid import UUID, uuid4
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import duckdb
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import polars as pl
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from .db import DDB, StorageEngines
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from . import DDB, StorageEngines
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class UserDB(DDB):
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@ -99,10 +99,10 @@ class OwnershipDB(DDB):
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FROM
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'{self.path_prefix}/*.csv'
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WHERE
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email = '{user_email}
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email = '{user_email}'
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ORDER BY
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timestamp ASC
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LIMIT 10'
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LIMIT 10
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""")
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.pl()
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.to_series()
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@ -2,8 +2,8 @@ from fastapi import APIRouter
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from fastapi.responses import PlainTextResponse
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from hellocomputer.db import StorageEngines
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from hellocomputer.db.sessions import SessionDB
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from hellocomputer.extraction import extract_code_block
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from hellocomputer.sessions import SessionDB
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from ..config import settings
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from ..models import Chat
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@ -13,7 +13,7 @@ router = APIRouter()
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@router.get("/query", response_class=PlainTextResponse, tags=["queries"])
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async def query(sid: str = "", q: str = "") -> str:
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chat = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
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llm = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
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db = SessionDB(
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StorageEngines.gcs,
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gcs_access=settings.gcs_access,
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|
@ -22,9 +22,8 @@ async def query(sid: str = "", q: str = "") -> str:
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sid=sid,
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).load_folder()
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chat = await chat.eval("You're an expert sql developer", db.query_prompt(q))
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chat = await llm.eval("You're a DUCKDB expert", db.query_prompt(q))
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query = extract_code_block(chat.last_response_content())
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result = str(db.query(query))
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print(result)
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return result
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|
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@ -5,7 +5,7 @@ from starlette.requests import Request
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from hellocomputer.config import settings
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from hellocomputer.db import StorageEngines
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from hellocomputer.users import UserDB
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from hellocomputer.db.users import UserDB
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router = APIRouter()
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|
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@ -7,8 +7,8 @@ from starlette.requests import Request
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from ..config import settings
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from ..db import StorageEngines
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from ..sessions import SessionDB
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from ..users import OwnershipDB
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from ..db.sessions import SessionDB
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from ..db.users import OwnershipDB
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router = APIRouter()
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|
|
|
@ -1,12 +1,12 @@
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from typing import List
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from uuid import uuid4
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from fastapi import APIRouter
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from fastapi.responses import PlainTextResponse
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from starlette.requests import Request
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from typing import List
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from hellocomputer.db import StorageEngines
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from hellocomputer.users import OwnershipDB
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from hellocomputer.db.users import OwnershipDB
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from ..config import settings
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|
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|
@ -37,7 +37,7 @@
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<p class="techie-font">
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Hola, computer! is a web assistant that allows you to query excel files using natural language. It may
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not be as powerful as Excel, but it has an efficient query backend that can process your data faster
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and more efficiently than Excel.
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than Excel.
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</p>
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<a href="/"><button class="btn btn-secondary w-100">Back</button></a>
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</div>
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|
|
|
@ -25,9 +25,11 @@
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</p>
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<a href="#" class="list-group-item list-group-item-action bg-light"><i
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class="bi bi-question-circle"></i> How to</a>
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<a href="#" class="list-group-item list-group-item-action bg-light"><i class="bi bi-file-ruled"></i>
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<a href="/app/templates" class="list-group-item list-group-item-action bg-light"><i
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class="bi bi-file-ruled"></i>
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File templates</a>
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<a href="#" class="list-group-item list-group-item-action bg-light"><i class="bi bi-info-circle"></i>
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<a href="/app/about.html" class="list-group-item list-group-item-action bg-light"><i
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class="bi bi-info-circle"></i>
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About</a>
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<a href="/config" class="list-group-item list-group-item-action bg-light"><i class="bi bi-toggles"></i>
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Config</a>
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|
|
|
@ -71,17 +71,27 @@ function addAIManualMessage(m) {
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chatMessages.prepend(newMessage); // Add new message at the top
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}
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function addUserMessageBlock(messageContent) {
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const newMessage = document.createElement('div');
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newMessage.classList.add('message', 'bg-light', 'p-2', 'mb-2', 'rounded');
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newMessage.textContent = messageContent;
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chatMessages.prepend(newMessage); // Add new message at the top
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textarea.value = ''; // Clear the textarea
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textarea.style.height = 'auto'; // Reset the textarea height
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textarea.style.overflowY = 'hidden';
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};
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function addUserMessage() {
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const messageContent = textarea.value.trim();
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if (messageContent) {
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const newMessage = document.createElement('div');
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newMessage.classList.add('message', 'bg-light', 'p-2', 'mb-2', 'rounded');
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newMessage.textContent = messageContent;
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chatMessages.prepend(newMessage); // Add new message at the top
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textarea.value = ''; // Clear the textarea
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textarea.style.height = 'auto'; // Reset the textarea height
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textarea.style.overflowY = 'hidden';
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addAIMessage(messageContent);
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if (sessionStorage.getItem("helloComputerSessionLoaded") == 'false') {
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textarea.value = '';
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addAIManualMessage('Please upload a data file or select a session first!');
|
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}
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else {
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if (messageContent) {
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addUserMessageBlock(messageContent);
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addAIMessage(messageContent);
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||||
}
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||||
}
|
||||
};
|
||||
|
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|
@ -104,6 +114,7 @@ document.addEventListener("DOMContentLoaded", function () {
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try {
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const session_response = await fetch('/new_session');
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sessionStorage.setItem("helloComputerSession", JSON.parse(await session_response.text()));
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sessionStorage.setItem("helloComputerSessionLoaded", false);
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const response = await fetch('/greetings?sid=' + sessionStorage.getItem('helloComputerSession'));
|
||||
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||||
|
@ -155,6 +166,7 @@ document.addEventListener("DOMContentLoaded", function () {
|
|||
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const data = await response.text();
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uploadResultDiv.textContent = 'Upload successful: ' + JSON.parse(data)['message'];
|
||||
sessionStorage.setItem("helloComputerSessionLoaded", true);
|
||||
|
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addAIManualMessage('File uploaded and processed!');
|
||||
} catch (error) {
|
||||
|
|
BIN
src/hellocomputer/static/templates/TestExcelHelloComputer.xlsx
Normal file
BIN
src/hellocomputer/static/templates/TestExcelHelloComputer.xlsx
Normal file
Binary file not shown.
|
@ -2,7 +2,7 @@ from pathlib import Path
|
|||
|
||||
import hellocomputer
|
||||
from hellocomputer.db import StorageEngines
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from hellocomputer.sessions import SessionDB
|
||||
from hellocomputer.db.sessions import SessionDB
|
||||
|
||||
TEST_STORAGE = StorageEngines.local
|
||||
TEST_XLS_PATH = (
|
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|
|
|
@ -6,14 +6,17 @@ from hellocomputer.config import settings
|
|||
from hellocomputer.db import StorageEngines
|
||||
from hellocomputer.extraction import extract_code_block
|
||||
from hellocomputer.models import Chat
|
||||
from hellocomputer.sessions import SessionDB
|
||||
from hellocomputer.db.sessions import SessionDB
|
||||
|
||||
TEST_STORAGE = StorageEngines.local
|
||||
TEST_OUTPUT_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "output"
|
||||
TEST_XLS_PATH = (
|
||||
Path(hellocomputer.__file__).parents[2]
|
||||
/ "test"
|
||||
/ "data"
|
||||
/ "TestExcelHelloComputer.xlsx"
|
||||
)
|
||||
SID = "test"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
|
@ -35,9 +38,28 @@ async def test_simple_data_query():
|
|||
|
||||
chat = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
|
||||
db = SessionDB(
|
||||
storage_engine=StorageEngines.local, path=TEST_XLS_PATH.parent
|
||||
storage_engine=StorageEngines.local, path=TEST_XLS_PATH.parent, sid=SID
|
||||
).load_xls(TEST_XLS_PATH)
|
||||
|
||||
chat = await chat.eval("You're an expert sql developer", db.query_prompt(query))
|
||||
query = extract_code_block(chat.last_response_content())
|
||||
assert query.startswith("SELECT")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.skipif(
|
||||
settings.anyscale_api_key == "Awesome API", reason="API Key not set"
|
||||
)
|
||||
async def test_data_query():
|
||||
q = "find the average score of all the sudents"
|
||||
|
||||
llm = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
|
||||
db = SessionDB(
|
||||
storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER, sid="test"
|
||||
).load_folder()
|
||||
|
||||
chat = await llm.eval("You're a DUCKDB expert", db.query_prompt(q))
|
||||
query = extract_code_block(chat.last_response_content())
|
||||
result = db.query(query).pl()
|
||||
|
||||
assert result.shape[0] == 1
|
||||
|
|
|
@ -2,7 +2,7 @@ from pathlib import Path
|
|||
|
||||
import hellocomputer
|
||||
from hellocomputer.db import StorageEngines
|
||||
from hellocomputer.users import OwnershipDB, UserDB
|
||||
from hellocomputer.db.users import OwnershipDB, UserDB
|
||||
|
||||
TEST_STORAGE = StorageEngines.local
|
||||
TEST_OUTPUT_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "output"
|
||||
|
|
Loading…
Reference in a new issue