mysite/utilities.py

import os
import hmac
import hashlib
import base64
import subprocess
import time


def validate_signature(body: str, signature: str, secret: str) -> bool:
    hash = hmac.new(secret.encode("utf-8"), body.encode("utf-8"), hashlib.sha256).digest()
    expected_signature = base64.b64encode(hash).decode("utf-8")
    return hmac.compare_digest(expected_signature, signature)

def no_process_file(prompt, foldername):
    set_environment_variables()
    try:
        proc = subprocess.Popen(["mkdir", f"/home/user/app/routers/{foldername}"])
    except subprocess.CalledProcessError as e:
        return f"Processed Content:\n{e.stdout}\n\nMake Command Error:\n{e.stderr}"

    no_extension_path = f"/home/user/app/routers/{foldername}/prompt"
    time.sleep(1)
    with open(no_extension_path, "a") as f:
        f.write(prompt)
    time.sleep(1)
    try:
        prompt_file_path = no_extension_path
        with open(prompt_file_path, "w") as prompt_file:
            prompt_file.write(prompt)
    except Exception as e:
        return f"Error writing prompt to file: {str(e)}"
    time.sleep(1)
    try:
        proc = subprocess.Popen(
            ["make", "run", foldername],
            stdin=subprocess.PIPE,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True,
        )
        stdout, stderr = proc.communicate(input="n\ny\ny\n")
        return f"Processed Content:\n{stdout}\n\nMake Command Output:\n{stdout}\n\nMake Command Error:\n{stderr}"
    except subprocess.CalledProcessError as e:
        return f"Processed Content:\n{e.stdout}\n\nMake Command Error:\n{e.stderr}"

def set_environment_variables():
    os.environ["OPENAI_API_BASE"] = "https://api.groq.com/openai/v1"
    os.environ["OPENAI_API_KEY"] = "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"
    os.environ["MODEL_NAME"] = "llama3-8b-8192"
    os.environ["LOCAL_MODEL"] = "true"

# Set the environment variable.
def chat_with_interpreter(
    message, history, a=None, b=None, c=None, d=None
):  # , openai_api_key):
    # Set the API key for the interpreter
    # interpreter.llm.api_key = openai_api_key
    if message == "reset":
        interpreter.reset()
        return "Interpreter reset", history
    full_response = ""
    # add_conversation(history,20)
    user_entry = {"role": "user", "type": "message", "content": message}
    #messages.append(user_entry)
    # Call interpreter.chat and capture the result

    for chunk in interpreter.chat(message, display=False, stream=True):
        # print(chunk)
        # output = '\n'.join(item['content'] for item in result if 'content' in item)
        full_response = format_response(chunk, full_response)
        yield full_response  # chunk.get("content", "")

    # Extract the 'content' field from all elements in the result
    def insert(full_response,message):
        age = 28
        con = duckdb.connect(database="./workspace/sample.duckdb")
        con.execute(
            """
        CREATE SEQUENCE IF NOT EXISTS sample_id_seq START 1;
        CREATE TABLE IF NOT EXISTS samples (
            id INTEGER DEFAULT nextval('sample_id_seq'),
            name VARCHAR,
            age INTEGER,
            PRIMARY KEY(id)
        );
        """
        )
        cur = con.cursor()
        con.execute("INSERT INTO samples (name, age) VALUES (?, ?)", (full_response, age))
        con.execute("INSERT INTO samples (name, age) VALUES (?, ?)", (message, age))
        # データをCSVファイルにエクスポート
        con.execute("COPY samples TO 'sample.csv' (FORMAT CSV, HEADER)")
        # データをコミット
        con.commit()
        # データを選択
        cur = con.execute("SELECT * FROM samples")
        # 結果をフェッチ
        res = cur.fetchall()
        rows = ""
        # 結果を表示
        # 結果を文字列に整形
        rows = "\n".join([f"name: {row[0]}, age: {row[1]}" for row in res])
        # コネクションを閉じる
        con.close()
        # print(cur.fetchall())
        insert(full_response,message)
    yield full_response + rows  # , history
    return full_response, history

async def completion(message: str, history, c=None, d=None):
    from groq import Groq
    client = Groq(api_key=os.getenv("api_key"))
    messages = []
    recent_messages = history[-20:]
    for conversation in recent_messages:
        user_message = conversation[0]
        user_entry = {"role": "user", "content": user_message}
        messages.append(user_entry)
        assistant_message = conversation[1]
        assistant_entry = {"role": "assistant", "content": assistant_message}
        messages.append(assistant_entry)

    user_entry = {"role": "user", "content": message}
    messages.append(user_entry)
    system_prompt = {"role": "system", "content": "あなたは日本語の優秀なアシスタントです。"}
    messages.insert(0, system_prompt)
    async with async_timeout.timeout(GENERATION_TIMEOUT_SEC):
        try:
            stream = client.chat.completions.create(
                model="llama3-8b-8192",
                messages=messages,
                temperature=1,
                max_tokens=1024,
                top_p=1,
                stream=True,
                stop=None,
            )
            all_result = ""
            for chunk in stream:
                current_content = chunk.choices[0].delta.content or ""
                all_result += current_content
                yield current_content
            yield all_result
        except asyncio.TimeoutError:
            raise HTTPException(status_code=504, detail="Stream timed out")

def process_file(fileobj, prompt, foldername):
    set_environment_variables()
    try:
        proc = subprocess.Popen(["mkdir", f"/home/user/app/routers/{foldername}"])
    except subprocess.CalledProcessError as e:
        return f"Processed Content:\n{e.stdout}\n\nMake Command Error:\n{e.stderr}"
    time.sleep(2)
    path = f"/home/user/app/routers/{foldername}/" + os.path.basename(fileobj)
    shutil.copyfile(fileobj.name, path)
    base_name = os.path.splitext(os.path.basename(fileobj))[0]
    no_extension_path = f"/home/user/app/routers/{foldername}/{base_name}"
    shutil.copyfile(fileobj, no_extension_path)
    with open(no_extension_path, "a") as f:
        f.write(prompt)
    try:
        prompt_file_path = no_extension_path
        with open(prompt_file_path, "w") as prompt_file:
            prompt_file.write(prompt)
    except Exception as e:
        return f"Error writing prompt to file: {str(e)}"
    time.sleep(1)
    try:
        proc = subprocess.Popen(
            ["make", "run", foldername],
            stdin=subprocess.PIPE,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True,
        )
        stdout, stderr = proc.communicate(input="n\ny\ny\n")
        return f"Processed Content:\n{stdout}\n\nMake Command Output:\n{stdout}\n\nMake Command Error:\n{stderr}"
    except subprocess.CalledProcessError as e:
        return f"Processed Content:\n{stdout}\n\nMake Command Error:\n{e.stderr}"