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Update app.py via AI Editor
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app.py
CHANGED
@@ -15,6 +15,7 @@ from PyPDF2 import PdfReader
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import logging
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import uuid
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import xlsxwriter # Needed for Excel export engine
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# --- Logging Configuration ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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@@ -26,12 +27,13 @@ app = dash.Dash(__name__,
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external_stylesheets=[dbc.themes.BOOTSTRAP],
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suppress_callback_exceptions=True,
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meta_tags=[{"name": "viewport", "content": "width=device-width, initial-scale=1"}])
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server = app.server
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# --- Configure Gemini AI ---
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# IMPORTANT: Set the GEMINI_API_KEY environment variable.
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try:
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-
# Prefer direct CUDA GPU configuration in app.py - Note: Not applicable for cloud APIs like Gemini.
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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logging.warning("GEMINI_API_KEY environment variable not found. AI features will be disabled.")
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@@ -39,6 +41,7 @@ try:
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else:
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genai.configure(api_key=api_key)
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# Using 'gemini-1.5-pro-latest' or similar advanced model is recommended.
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model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
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logging.info("Gemini AI configured successfully using 'gemini-2.5-pro-preview-03-25'.")
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except Exception as e:
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@@ -46,30 +49,34 @@ except Exception as e:
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model = None
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# --- Global Variables ---
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#
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#
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pink_review_document = None
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red_review_document = None
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gold_review_document = None
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loe_document = None
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virtual_board_document = None
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# Stores the *
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#
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# Store
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# --- Document Types ---
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document_types = {
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@@ -86,9 +93,10 @@ document_types = {
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# --- Layout Definition ---
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app.layout = dbc.Container(fluid=True, className="dbc", children=[
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# Title Row
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dbc.Row(
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dbc.Col(html.H1("Proposal AI Assistant", className="text-center my-4"
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),
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# Progress Indicator Row
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@@ -96,12 +104,12 @@ app.layout = dbc.Container(fluid=True, className="dbc", children=[
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dbc.Col(
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dcc.Loading(
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id="loading-indicator",
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type="dots",
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children=[html.Div(id="loading-output", style={'height': '10px'})],
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overlay_style={"visibility":"hidden", "opacity": 0},
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style={'visibility':'hidden',
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fullscreen=False,
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className="justify-content-center"
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),
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width=12,
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className="text-center mb-3"
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@@ -110,7 +118,7 @@ app.layout = dbc.Container(fluid=True, className="dbc", children=[
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# Main Content Row
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dbc.Row([
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# Left Column (Nav/Upload)
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dbc.Col(
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dbc.Card(
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dbc.CardBody([
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@@ -118,85 +126,94 @@ app.layout = dbc.Container(fluid=True, className="dbc", children=[
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dcc.Upload(
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id='upload-document',
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children=html.Div(['Drag and Drop or ', html.A('Select PWS/Source Files')]),
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style={
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'width': '100%', 'height': '60px', 'lineHeight': '60px',
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'borderWidth': '1px', 'borderStyle': 'dashed', 'borderRadius': '5px',
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'textAlign': 'center', 'margin': '10px 0'
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},
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multiple=True
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),
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dbc.Card(
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dbc.CardBody(
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html.Div(id='file-list', style={'maxHeight': '150px', 'overflowY': 'auto', 'fontSize': '0.9em'})
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), className="mb-3"
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),
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html.Hr(),
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html.H4("2. Select Action", className="card-title mt-3"),
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dbc.Card(
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dbc.CardBody([
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*[dbc.Button(
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doc_type,
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id={'type': 'action-button', 'index': doc_type},
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color="primary",
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className="mb-2 w-100 d-block",
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style={'textAlign': 'left', 'whiteSpace': 'normal', 'height': 'auto', 'wordWrap': 'break-word'}
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) for doc_type in document_types.keys()]
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])
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)
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])
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, color="light"),
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width=12, lg=4,
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className="mb-3 mb-lg-0",
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style={'
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),
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# Right Column (Status/Preview/Controls/Chat)
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dbc.Col(
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dbc.Card(
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dbc.CardBody([
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dbc.Alert(id='status-bar', children="Upload source documents and select an action.", color="info"),
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dbc.Card(id='review-controls-card', children=[dbc.CardBody(id='review-controls')], className="mb-3", style={'display': 'none'}),
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dbc.Card(
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dbc.CardBody([
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html.H5("Document Preview / Output", className="card-title"),
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dcc.Loading(
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id="loading-preview",
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type="circle",
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children=[html.Div(id='document-preview', style={'whiteSpace': 'pre-wrap', 'maxHeight': '400px', 'overflowY': 'auto', 'border': '1px solid #ccc', 'padding': '10px', 'borderRadius': '5px'
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)
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]), className="mb-3"
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),
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dbc.Button("Download Output", id="btn-download", color="success", className="mt-3 me-2", style={'display': 'none'}),
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dcc.Download(id="download-document"),
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html.Hr(),
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dbc.Card(
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dbc.CardBody([
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html.H5("Refine Output (Chat)", className="card-title"),
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dcc.Loading(
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id="chat-loading",
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type="circle",
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children=[
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dbc.Textarea(id="chat-input", placeholder="Enter instructions to refine the document shown above...", className="mb-2", style={'whiteSpace': 'normal', 'wordWrap': 'break-word'}),
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dbc.ButtonGroup([
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dbc.Button("Send Chat", id="btn-send-chat", color="secondary"),
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dbc.Button("Clear Chat", id="btn-clear-chat", color="tertiary")
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], className="mb-3"),
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html.Div(id="chat-output", style={'whiteSpace': 'pre-wrap', 'marginTop': '10px', 'border': '1px solid #eee', 'padding': '10px', 'borderRadius': '5px', 'minHeight': '50px'})
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]
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)
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]), className="mb-3"
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)
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])
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width=12, lg=8,
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style={'
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)
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])
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], style={'
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# --- Helper Functions ---
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def process_document(contents, filename):
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"""Processes uploaded file content (PDF or DOCX) and returns text, or None and error message."""
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if contents is None:
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@@ -239,26 +256,29 @@ def process_document(contents, filename):
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logging.error(f"Error processing document {filename}: {e}", exc_info=True)
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return None, f"Error processing file {filename}: {str(e)}"
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def get_combined_uploaded_text():
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"""Combines text content of all successfully uploaded files."""
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def generate_ai_document(doc_type, input_docs, context_docs=None):
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"""Generates document using Gemini AI. Updates current_display."""
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global current_display_document
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if not model:
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logging.error("Gemini AI model not initialized.")
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return "Error: AI Model not configured. Please check API Key."
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if not input_docs or not any(doc.strip() for doc in input_docs if doc):
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logging.warning(f"generate_ai_document called for {doc_type} with no valid input documents.")
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return f"Error: Missing required input document(s) for {doc_type} generation."
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combined_input = "\n\n---\n\n".join(filter(None, input_docs))
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combined_context = "\n\n---\n\n".join(filter(None, context_docs)) if context_docs else ""
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prompt = f"""**Objective:** Generate the '{doc_type}' document.
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**Your Role:** Act as an expert proposal writer/analyst.
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**Core Instructions:**
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import logging
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import uuid
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import xlsxwriter # Needed for Excel export engine
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import threading # For multi-threading
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# --- Logging Configuration ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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external_stylesheets=[dbc.themes.BOOTSTRAP],
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suppress_callback_exceptions=True,
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meta_tags=[{"name": "viewport", "content": "width=device-width, initial-scale=1"}])
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server = app.server # Expose server for deployment
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# --- Configure Gemini AI ---
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# IMPORTANT: Set the GEMINI_API_KEY environment variable.
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try:
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# Prefer direct CUDA GPU configuration in app.py - Note: Not directly applicable for cloud APIs like Gemini.
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# Configuration happens via environment variable or direct API key setting.
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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logging.warning("GEMINI_API_KEY environment variable not found. AI features will be disabled.")
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else:
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genai.configure(api_key=api_key)
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# Using 'gemini-1.5-pro-latest' or similar advanced model is recommended.
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# Using the user-specified model: gemini-2.5-pro-preview-03-25
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model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
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logging.info("Gemini AI configured successfully using 'gemini-2.5-pro-preview-03-25'.")
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except Exception as e:
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model = None
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# --- Global Variables ---
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# Using dcc.Store for more robust state management is recommended for production,
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# but for simplicity and current scope, using global variables with locks for threading.
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# A lock for thread-safe access to shared global variables
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data_lock = threading.Lock()
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# {session_id: {filename: content_text}} - Store uploaded files per session
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uploaded_files = {}
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# {session_id: document_content} - Stores the *results* of generation/review steps per session
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shredded_document = {}
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pink_review_document = {}
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red_review_document = {}
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gold_review_document = {}
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loe_document = {}
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virtual_board_document = {}
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# {session_id: document_content} - Stores the *generated* proposal drafts per session
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pink_document = {}
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red_document = {}
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gold_document = {}
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# {session_id: content_text} - Store uploaded content specifically for review inputs per session
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uploaded_pink_content = {}
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uploaded_red_content = {}
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uploaded_gold_content = {}
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# {session_id: {'doc': content, 'type': doc_type}} - Store the currently displayed document and its type for download/chat per session
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current_display_document = {}
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# --- Document Types ---
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document_types = {
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# --- Layout Definition ---
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app.layout = dbc.Container(fluid=True, className="dbc", children=[
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dcc.Store(id='session-id', storage_type='session'), # Store for unique session ID
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# Title Row
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dbc.Row(
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dbc.Col(html.H1("Proposal AI Assistant", className="text-center my-4"), width=12) # Removed inline style
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),
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# Progress Indicator Row
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dbc.Col(
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dcc.Loading(
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id="loading-indicator",
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type="dots", # Changed to dots
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children=[html.Div(id="loading-output", style={'height': '10px'})], # Simplified children
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overlay_style={"visibility":"hidden", "opacity": 0}, # Hide default overlay
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style={'visibility':'hidden'}, # Initially hidden
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parent_style={'minHeight': '30px'}, # Ensure space is allocated
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fullscreen=False,
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),
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width=12,
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className="text-center mb-3"
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# Main Content Row
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dbc.Row([
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# Left Column (Nav/Upload) - 30% width on large screens
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dbc.Col(
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dbc.Card(
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dbc.CardBody([
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dcc.Upload(
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id='upload-document',
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children=html.Div(['Drag and Drop or ', html.A('Select PWS/Source Files')]),
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style={ # Basic styling, colors/backgrounds handled by CSS
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'width': '100%', 'height': '60px', 'lineHeight': '60px',
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'borderWidth': '1px', 'borderStyle': 'dashed', 'borderRadius': '5px',
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'textAlign': 'center', 'margin': '10px 0'
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},
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multiple=True
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),
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dbc.Card( # Inner card for file list
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dbc.CardBody(
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html.Div(id='file-list', style={'maxHeight': '150px', 'overflowY': 'auto', 'fontSize': '0.9em'})
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), className="mb-3" # Removed inline style
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),
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html.Hr(),
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html.H4("2. Select Action", className="card-title mt-3"),
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dbc.Card( # Inner card for buttons
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dbc.CardBody([
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*[dbc.Button(
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doc_type,
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id={'type': 'action-button', 'index': doc_type},
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color="primary", # Use bootstrap classes
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className="mb-2 w-100 d-block",
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style={'textAlign': 'left', 'whiteSpace': 'normal', 'height': 'auto', 'wordWrap': 'break-word'} # Style for word wrap
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) for doc_type in document_types.keys()]
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])
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)
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])
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, color="light", className="h-100"), # Use bootstrap class for background, ensure full height
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width=12, lg=4, # Full width on small, 4/12 (33%) on large
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className="mb-3 mb-lg-0",
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style={'paddingRight': '15px'} # Add padding between columns
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),
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# Right Column (Status/Preview/Controls/Chat) - 70% width on large screens
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dbc.Col(
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dbc.Card(
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dbc.CardBody([
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dbc.Alert(id='status-bar', children="Upload source documents and select an action.", color="info"),
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dbc.Card(id='review-controls-card', children=[dbc.CardBody(id='review-controls')], className="mb-3", style={'display': 'none'}), # Initially hidden review controls
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dbc.Card( # Card for preview
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dbc.CardBody([
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html.H5("Document Preview / Output", className="card-title"),
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dcc.Loading(
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id="loading-preview",
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type="circle",
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children=[html.Div(id='document-preview', style={'whiteSpace': 'pre-wrap', 'wordWrap': 'break-word', 'maxHeight': '400px', 'overflowY': 'auto', 'border': '1px solid #ccc', 'padding': '10px', 'borderRadius': '5px'})] # Added wordWrap
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)
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]), className="mb-3"
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),
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dbc.Button("Download Output", id="btn-download", color="success", className="mt-3 me-2", style={'display': 'none'}), # Initially hidden download
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dcc.Download(id="download-document"),
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html.Hr(),
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dbc.Card( # Card for chat
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dbc.CardBody([
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html.H5("Refine Output (Chat)", className="card-title"),
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dcc.Loading(
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id="chat-loading",
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type="circle",
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children=[
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dbc.Textarea(id="chat-input", placeholder="Enter instructions to refine the document shown above...", className="mb-2", style={'whiteSpace': 'normal', 'wordWrap': 'break-word'}), # Ensure word wrap
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dbc.ButtonGroup([
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dbc.Button("Send Chat", id="btn-send-chat", color="secondary"),
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dbc.Button("Clear Chat", id="btn-clear-chat", color="tertiary")
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], className="mb-3"),
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html.Div(id="chat-output", style={'whiteSpace': 'pre-wrap', 'wordWrap': 'break-word', 'marginTop': '10px', 'border': '1px solid #eee', 'padding': '10px', 'borderRadius': '5px', 'minHeight': '50px'}) # Added wordWrap
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]
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)
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]), className="mb-3"
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)
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])
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, className="h-100"), # Ensure full height
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width=12, lg=8, # Full width on small, 8/12 (67%) on large
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style={'paddingLeft': '15px'} # Add padding between columns
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)
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])
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], style={'padding': '0 15px'}) # Add padding around the container
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# --- Helper Functions ---
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def get_session_id(session_id_value=None):
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"""Gets the current session ID or generates a new one."""
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if session_id_value:
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return session_id_value
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# Fallback for initial load or if session ID is missing
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new_id = str(uuid.uuid4())
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logging.info(f"Generated new session ID: {new_id}")
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return new_id
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+
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def process_document(contents, filename):
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"""Processes uploaded file content (PDF or DOCX) and returns text, or None and error message."""
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if contents is None:
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logging.error(f"Error processing document {filename}: {e}", exc_info=True)
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return None, f"Error processing file {filename}: {str(e)}"
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def get_combined_uploaded_text(session_id):
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"""Combines text content of all successfully uploaded files for a session."""
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with data_lock:
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session_files = uploaded_files.get(session_id, {})
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if not session_files:
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return ""
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return "\n\n--- FILE BREAK ---\n\n".join(session_files.values())
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def generate_ai_document(session_id, doc_type, input_docs, context_docs=None):
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+
"""Generates document using Gemini AI. Updates current_display for the session."""
|
269 |
+
global current_display_document # Modifying global state
|
270 |
|
271 |
if not model:
|
272 |
+
logging.error(f"[{session_id}] Gemini AI model not initialized.")
|
273 |
return "Error: AI Model not configured. Please check API Key."
|
274 |
if not input_docs or not any(doc.strip() for doc in input_docs if doc):
|
275 |
+
logging.warning(f"[{session_id}] generate_ai_document called for {doc_type} with no valid input documents.")
|
276 |
return f"Error: Missing required input document(s) for {doc_type} generation."
|
277 |
|
278 |
combined_input = "\n\n---\n\n".join(filter(None, input_docs))
|
279 |
combined_context = "\n\n---\n\n".join(filter(None, context_docs)) if context_docs else ""
|
280 |
|
281 |
+
# Updated Prompt - Ensure it's correctly terminated
|
282 |
prompt = f"""**Objective:** Generate the '{doc_type}' document.
|
283 |
**Your Role:** Act as an expert proposal writer/analyst.
|
284 |
**Core Instructions:**
|