conversation ID update

Dockerfile

@@ -10,6 +10,14 @@ COPY requirements.txt /app
 # Install any needed packages specified in requirements.txt
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Create a non-root user
+RUN useradd -m appuser
+
+# Create necessary directories and set permissions
+RUN mkdir -p /app/data && \
+    chown -R appuser:appuser /app && \
+    chmod -R 755 /app 
+
 COPY . /app
 
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

@@ -1,15 +1,114 @@
 from modules.functions import call_llm
 from fastapi import FastAPI
 from pydantic import BaseModel, Field
-from typing import List, Set
-from typing_extensions import TypedDict, Literal
+
+import os
+import sqlite3
+import logging
+import asyncio
+import time
+
+from typing import List, Dict
+from typing_extensions import TypedDict
 
 app = FastAPI(debug=True)
 
+# Configure logging
+logging.basicConfig(
+    level=logging.WARNING,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+    handlers=[logging.FileHandler("app.log"), logging.StreamHandler()],
+)
+logger = logging.getLogger(__name__)
 
-class Message(TypedDict):
-    role: Literal["system", "user", "assistant"]
-    content: str
+# SQLite setup
+DB_PATH = "app/data/conversations.db"
+
+# In-memory storage for conversations
+CONVERSATIONS: Dict[str, List[Dict[str, str]]] = {}
+LAST_ACTIVITY: Dict[str, float] = {}
+
+
+# initialize SQLite database
+def init_db():
+    logger.info("Initializing database")
+    os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
+    conn = sqlite3.connect(DB_PATH)
+    c = conn.cursor()
+    c.execute(
+        """CREATE TABLE IF NOT EXISTS conversations
+                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
+                  conversation_id TEXT,
+                  messages TEXT
+                  timestamp DATETIME DEFAULT CURRENT_TIMESTAMP)"""
+    )
+    conn.commit()
+    conn.close()
+    logger.info("Database initialized successfully")
+
+
+init_db()
+
+
+def update_db(conversation_id, messages):
+    logger.info(f"Updating database for conversation: {conversation_id}")
+    conn = sqlite3.connect(DB_PATH)
+    c = conn.cursor()
+    c.execute(
+        "SELECT COUNT(*) FROM conversations WHERE conversation_id = ?",
+        (conversation_id,),
+    )
+    row_exists = c.fetchone()[0]
+
+    if row_exists:
+        c.execute(
+            """UPDATE conversations SET messages = ? WHERE conversation_id = ?""",
+            (str(messages), conversation_id),
+        )
+    else:
+        c.execute(
+            f"INSERT INTO conversations (conversation_id, messages) VALUES (?, ?)",
+            (conversation_id, str(messages)),
+        )
+
+    conn.commit()
+    conn.close()
+    logger.info("Database updated successfully")
+
+
+def get_conversation_from_db(conversation_id):
+    conn = sqlite3.connect(DB_PATH)
+    try:
+        c = conn.cursor()
+        c.execute(
+            """SELECT messages FROM conversations WHERE conversation_id = ?""",
+            (conversation_id,),
+        )
+        conversation = c.fetchone()
+        if conversation:
+            return conversation[0]
+        else:
+            return None
+    finally:
+        conn.close()
+
+
+async def clear_inactive_conversations():
+    while True:
+        logger.info("Clearing inactive conversations")
+        current_time = time.time()
+        inactive_convos = [
+            conv_id
+            for conv_id, last_time in LAST_ACTIVITY.items()
+            if current_time - last_time > 1800
+        ]  # 30 minutes
+        for conv_id in inactive_convos:
+            if conv_id in CONVERSATIONS:
+                del CONVERSATIONS[conv_id]
+            if conv_id in LAST_ACTIVITY:
+                del LAST_ACTIVITY[conv_id]
+        logger.info(f"Cleared {len(inactive_convos)} inactive conversations")
+        await asyncio.sleep(60)  # Check every minutes
 
 
 class Output(TypedDict):
@@ -17,19 +116,9 @@ class Output(TypedDict):
     content: str
 
 
-class History(BaseModel):
-    history: List[Message] = Field(
-        examples=[
-            [
-                {"role": "user", "content": "Tell me a joke."},
-                {
-                    "role": "assistant",
-                    "content": "Why did the scarecrow win an award? Because he was outstanding in his field!",
-                },
-                {"role": "user", "content": "Tell me another joke."},
-            ]
-        ]
-    )
+class UserInput(BaseModel):
+    ConversationID: str = Field(examples=["123e4567-e89b-12d3-a456-426614174000"])
+    Query: str = Field(examples=["Nifty 50 Annual return for past 10 years"])
 
 
 class Response(BaseModel):
@@ -47,9 +136,39 @@ class Response(BaseModel):
             ]
         ]
     )
+    executed_code: List[str] = Field(
+        examples=[
+            [
+                """import folium
+
+m = folium.Map(location=[35, 100....""",
+                """from IPython.display import Image
+
+urls = ["https://up""",
+            ]
+        ]
+    )
 
 
 @app.post("/response")
-async def get_response(history: History) -> Response:
+async def get_response(user_query: UserInput) -> Response:
+
+    conv_id = user_query.ConversationID
+    query = user_query.Query
+    if conv_id in CONVERSATIONS:
+        history = CONVERSATIONS[conv_id] + [{"role": "user", "content": query}]
+    else:
+        db_response = get_conversation_from_db(conv_id)
+        if db_response:
+            history = eval(db_response) + [{"role": "user", "content": query}]
+        else:
+            CONVERSATIONS[conv_id] = []
+            history = [{"role": "user", "content": query}]
+
     print(history)
-    return call_llm(history.history)  # type: ignore
+    results, llm_response, python_code = call_llm(history)
+    history += [{"role": "assistant", "content": llm_response}]
+    CONVERSATIONS[conv_id] = history
+    update_db(conversation_id=conv_id, messages=history)
+
+    return {"response": results, "executed_code": python_code}  # type:ignore

modules/functions.py

@@ -108,13 +108,16 @@ def execute_llm_code(code):
 
 def call_llm(history, model="meta-llama/llama-3-70b-instruct:nitro"):
     # Simulate LLM call_llm
-    history.insert(0, {"role": "system", "content": SysPrompt})
+    if history[0]["role"] != "system":
+        history.insert(0, {"role": "system", "content": SysPrompt})
     response = chat_with_llama(history, model=model)
     llm_steps = extract_steps(response)
     result = []
+    python_code = []
     if llm_steps:
         for step in llm_steps:
             if step["type"] == "execute_python":
+                python_code.append(step["content"])
                 output = execute_llm_code(code=step["content"])
                 if output != None:
                     clear_output = process_execution_output(execution_output=output)
@@ -123,9 +126,9 @@ def call_llm(history, model="meta-llama/llama-3-70b-instruct:nitro"):
                     pass
             else:
                 result.append({"type": "text", "content": str(step["content"])})
-        return {"response": result}
+        return (result, response, python_code)
     else:
-        return {"response": [response]}
+        return [response], response, python_code
 
 
 def process_execution_output(execution_output):

requirements.txt

@@ -1,44 +1,589 @@
+absl-py==1.4.0
+addict==2.4.0
+aiofiles==23.1.0
+aiohttp==3.9.5
+aioprocessing==2.0.1
+aiosignal==1.3.1
+altair==5.0.1
 annotated-types==0.7.0
+antlr4-python3-runtime==4.9.3
 anyio==4.4.0
-certifi==2024.7.4
+apache-beam==2.50.0
+appdirs==1.4.4
+apturl==0.5.2
+argon2-cffi==21.3.0
+argon2-cffi-bindings==21.2.0
+arrow==1.2.3
+asgiref==3.8.1
+asttokens==2.2.1
+astunparse==1.6.3
+async-class==0.5.0
+async-lru==2.0.2
+async-timeout==4.0.2
+attrs==21.4.0
+autograd==1.6.2
+Babel==2.12.1
+backcall==0.2.0
+backoff==2.2.1
+bcrypt==4.1.3
+beautifulsoup4==4.12.3
+bleach==6.0.0
+blinker==1.7.0
+blis==0.7.11
+boto3==1.34.131
+botocore==1.34.131
+Brlapi==0.8.3
+Brotli==1.1.0
+bs4==0.0.2
+build==1.2.1
+cachetools==5.3.3
+cairocffi==1.7.1
+CairoSVG==2.7.1
+catalogue==2.0.10
+certifi==2024.2.2
+cffi==1.15.1
+chardet==4.0.0
 charset-normalizer==3.3.2
+chroma-hnswlib==0.7.3
+chromadb==0.5.0
+ci-info==0.3.0
 click==8.1.7
+cloudpathlib==0.15.1
+cloudpickle==2.2.1
+cma==2.7.0
+cobble==0.1.4
+code2flow==2.5.1
+cohere==5.5.4
+colorama==0.4.4
+coloredlogs==15.0.1
+comm==0.1.3
+command-not-found==0.3
+confection==0.1.3
+configobj==5.0.8
+configparser==7.0.0
+contourpy==1.0.7
+crcmod==1.7
+cryptography==41.0.7
+cssselect2==0.7.0
+cupshelpers==1.0
+curl_cffi==0.6.3
+cycler==0.11.0
+cymem==2.0.8
+dataclasses-json==0.6.4
+dataclasses-json-speakeasy==0.5.11
+dbus-python==1.2.18
+de-core-news-sm @ https://github.com/explosion/spacy-models/releases/download/de_core_news_sm-3.7.0/de_core_news_sm-3.7.0-py3-none-any.whl
+debugpy==1.6.7
+decorator==5.1.1
+defer==1.0.6
+defusedxml==0.7.1
+Deprecated==1.2.14
+deprecation==2.1.0
+dill==0.3.1.1
+dirtyjson==1.0.8
+diskcache==5.6.3
+distlib==0.3.7
 distro==1.9.0
+distro-info==1.1+ubuntu0.2
 dnspython==2.6.1
+docker==4.4.4
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+docstring_parser==0.16
+docx2pdf==0.1.8
+duckdb==1.0.0
+duckduckgo_search==6.1.0
+effdet==0.4.1
 email_validator==2.2.0
-exceptiongroup==1.2.2
+emoji==2.11.0
+en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.7.1/en_core_web_lg-3.7.1-py3-none-any.whl#sha256=ab70aeb6172cde82508f7739f35ebc9918a3d07debeed637403c8f794ba3d3dc
+en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.0/en_core_web_sm-3.7.0-py3-none-any.whl
+entrypoints==0.4
+etelemetry==0.3.1
+eval_type_backport==0.2.0
+exceptiongroup==1.2.1
+executing==1.2.0
 fastapi==0.112.0
 fastapi-cli==0.0.5
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+flask-sock==0.7.0
+flatbuffers==23.5.26
+fonttools==4.39.4
+fqdn==1.5.1
+fr-core-news-sm @ https://github.com/explosion/spacy-models/releases/download/fr_core_news_sm-3.7.0/fr_core_news_sm-3.7.0-py3-none-any.whl
+frozendict==2.3.10
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 h11==0.14.0
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 httpcore==1.0.5
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 httptools==0.6.1
 httpx==0.27.0
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 idna==3.7
-Jinja2==3.1.4
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+jupyter_server_terminals==0.4.4
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+jupyterlab-widgets==1.1.7
+jupyterlab_server==2.22.1
 kaleido==0.2.1
-markdown-it-py==3.0.0
-MarkupSafe==2.1.5
+keras==2.13.1
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 mdurl==0.1.2
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+pexpect==4.9.0
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+pikepdf==8.7.1
+Pillow==9.5.0
+pillow_heif==0.16.0
+pinecone-client==4.1.0
+platformdirs==3.10.0
+playwright==1.34.0
+playwright-stealth==1.0.6
+plotly==5.22.0
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+preshed==3.0.9
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+prov==2.0.0
+psutil==5.9.5
+psycopg2-binary==2.9.9
+ptyprocess==0.7.0
+pure-eval==0.2.2
+py==1.11.0
+pyarrow==10.0.1
+pyasn1==0.6.0
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+pycairo==1.20.1
+pycocotools==2.0.7
+pycparser==2.21
+pycryptodome==3.20.0
+pycups==2.0.1
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+pydantic_core==2.18.3
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 python-dotenv==1.0.1
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 python-multipart==0.0.9
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 PyYAML==6.0.1
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 requests==2.32.3
-rich==13.7.1
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 shellingham==1.5.4
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 sniffio==1.3.1
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 starlette==0.37.2
-tenacity==9.0.0
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 tqdm==4.66.4
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 typer==0.12.3
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-urllib3==2.2.2
-uvicorn==0.30.5
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+uc-micro-py==1.0.2
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 uvloop==0.19.0
-watchfiles==0.22.0
-websockets==12.0
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