Spaces:
Running
on
Zero
Running
on
Zero
#!/usr/bin/env python3 | |
import os | |
import curses | |
import argparse | |
import openai | |
import pinecone | |
from dotenv import load_dotenv | |
import textwrap | |
load_dotenv() | |
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "") | |
assert OPENAI_API_KEY, "OPENAI_API_KEY environment variable is missing from .env" | |
PINECONE_API_KEY = os.getenv("PINECONE_API_KEY", "") | |
assert PINECONE_API_KEY, "PINECONE_API_KEY environment variable is missing from .env" | |
PINECONE_ENVIRONMENT = os.getenv("PINECONE_ENVIRONMENT", "us-east1-gcp") | |
assert PINECONE_ENVIRONMENT, "PINECONE_ENVIRONMENT environment variable is missing from .env" | |
# Table config | |
PINECONE_TABLE_NAME = os.getenv("TABLE_NAME", "") | |
assert PINECONE_TABLE_NAME, "TABLE_NAME environment variable is missing from .env" | |
# Function to query records from the Pinecone index | |
def query_records(index, query, top_k=1000): | |
results = index.query(query, top_k=top_k, include_metadata=True) | |
return [{"name": f"{task.metadata['task']}", "result": f"{task.metadata['result']}"} for task in results.matches] | |
# Get embedding for the text | |
def get_ada_embedding(text): | |
return openai.Embedding.create(input=[text], model="text-embedding-ada-002")["data"][0]["embedding"] | |
def draw_tasks(stdscr, tasks, scroll_pos, selected): | |
y = 0 | |
h, w = stdscr.getmaxyx() | |
for idx, task in enumerate(tasks[scroll_pos:], start=scroll_pos): | |
if y >= h: | |
break | |
task_name = f'{task["name"]}' | |
truncated_str = task_name[:w-1] | |
if idx == selected: | |
stdscr.addstr(y, 0, truncated_str, curses.A_REVERSE) | |
else: | |
stdscr.addstr(y, 0, truncated_str) | |
y += 1 | |
def draw_result(stdscr, task): | |
task_name = f'Task: {task["name"]}' | |
task_result = f'Result: {task["result"]}' | |
_, w = stdscr.getmaxyx() | |
task_name_wrapped = textwrap.wrap(task_name, width=w) | |
for i, line in enumerate(task_name_wrapped): | |
stdscr.addstr(i, 0, line) | |
y, _ = stdscr.getyx() | |
stdscr.addstr(y+1, 0, '------------------') | |
stdscr.addstr(y+2, 0, task_result) | |
def draw_summary(stdscr, objective, tasks, start, num): | |
stdscr.box() | |
summary_text = f'{len(tasks)} tasks ({start}-{num}) | {objective}' | |
stdscr.addstr(1, 1, summary_text[:stdscr.getmaxyx()[1] - 2]) | |
def main(stdscr): | |
# Configure OpenAI | |
openai.api_key = OPENAI_API_KEY | |
# Initialize Pinecone | |
pinecone.init(api_key=PINECONE_API_KEY) | |
# Connect to the objective index | |
index = pinecone.Index(PINECONE_TABLE_NAME) | |
curses.curs_set(0) | |
stdscr.timeout(1000) | |
h, w = stdscr.getmaxyx() | |
left_w = w // 2 | |
visible_lines = h - 3 | |
scroll_pos = 0 | |
selected = 0 | |
# Parse command-line arguments | |
parser = argparse.ArgumentParser(description="Query Pinecone index using a string.") | |
parser.add_argument('objective', nargs='*', metavar='<objective>', help=''' | |
main objective description. Doesn\'t need to be quoted. | |
if not specified, get objective from environment. | |
''', default=[os.getenv("OBJECTIVE", "")]) | |
args = parser.parse_args() | |
# Query records from the index | |
objective = ' '.join(args.objective).strip().replace("\n", " ") | |
retrieved_tasks = query_records(index, get_ada_embedding(objective)) | |
while True: | |
stdscr.clear() | |
draw_tasks(stdscr.subwin(h-3, left_w, 0, 0), retrieved_tasks, scroll_pos, selected) | |
draw_result(stdscr.subwin(h, w - left_w, 0, left_w), retrieved_tasks[selected]) | |
draw_summary(stdscr.subwin(3, left_w, h - 3, 0), objective, retrieved_tasks, scroll_pos+1, scroll_pos+h-3) | |
stdscr.refresh() | |
key = stdscr.getch() | |
if key == ord('q') or key == 27: | |
break | |
elif key == curses.KEY_UP and selected > 0: | |
selected -= 1 | |
if selected < scroll_pos: | |
scroll_pos -= 1 | |
elif key == curses.KEY_DOWN and selected < len(retrieved_tasks) - 1: | |
selected += 1 | |
if selected - scroll_pos >= visible_lines: | |
scroll_pos += 1 | |
curses.wrapper(main) |