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""" |
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SPARKNET Progress Report & Future Work PDF Generator |
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Generates a comprehensive stakeholder presentation document. |
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""" |
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from reportlab.lib import colors |
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from reportlab.lib.pagesizes import A4, landscape |
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from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle |
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from reportlab.lib.units import inch, cm |
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from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY, TA_RIGHT |
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from reportlab.platypus import ( |
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SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, |
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PageBreak, Image, ListFlowable, ListItem, KeepTogether, |
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Flowable, HRFlowable |
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) |
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from reportlab.graphics.shapes import Drawing, Rect, String, Line, Polygon |
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from reportlab.graphics.charts.barcharts import VerticalBarChart |
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from reportlab.graphics.charts.piecharts import Pie |
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from reportlab.graphics import renderPDF |
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from reportlab.pdfgen import canvas |
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from datetime import datetime |
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import os |
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PRIMARY_BLUE = colors.HexColor('#1e3a5f') |
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SECONDARY_BLUE = colors.HexColor('#2d5a87') |
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ACCENT_BLUE = colors.HexColor('#4a90d9') |
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LIGHT_BLUE = colors.HexColor('#e8f4fc') |
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SUCCESS_GREEN = colors.HexColor('#28a745') |
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WARNING_ORANGE = colors.HexColor('#fd7e14') |
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DANGER_RED = colors.HexColor('#dc3545') |
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GRAY_DARK = colors.HexColor('#343a40') |
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GRAY_LIGHT = colors.HexColor('#f8f9fa') |
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WHITE = colors.white |
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class DiagramFlowable(Flowable): |
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"""Custom flowable for drawing architecture diagrams.""" |
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def __init__(self, width, height, diagram_type='architecture'): |
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Flowable.__init__(self) |
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self.width = width |
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self.height = height |
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self.diagram_type = diagram_type |
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def draw(self): |
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if self.diagram_type == 'architecture': |
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self._draw_architecture() |
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elif self.diagram_type == 'rag_pipeline': |
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self._draw_rag_pipeline() |
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elif self.diagram_type == 'document_pipeline': |
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self._draw_document_pipeline() |
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elif self.diagram_type == 'agent_interaction': |
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self._draw_agent_interaction() |
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elif self.diagram_type == 'data_flow': |
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self._draw_data_flow() |
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def _draw_box(self, x, y, w, h, text, fill_color, text_color=WHITE, font_size=9): |
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"""Draw a rounded box with text.""" |
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self.canv.setFillColor(fill_color) |
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self.canv.roundRect(x, y, w, h, 5, fill=1, stroke=0) |
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self.canv.setFillColor(text_color) |
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self.canv.setFont('Helvetica-Bold', font_size) |
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text_width = self.canv.stringWidth(text, 'Helvetica-Bold', font_size) |
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self.canv.drawString(x + (w - text_width) / 2, y + h/2 - 3, text) |
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def _draw_arrow(self, x1, y1, x2, y2, color=GRAY_DARK): |
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"""Draw an arrow from (x1,y1) to (x2,y2).""" |
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self.canv.setStrokeColor(color) |
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self.canv.setLineWidth(2) |
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self.canv.line(x1, y1, x2, y2) |
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import math |
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angle = math.atan2(y2-y1, x2-x1) |
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arrow_len = 8 |
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self.canv.line(x2, y2, x2 - arrow_len * math.cos(angle - 0.4), y2 - arrow_len * math.sin(angle - 0.4)) |
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self.canv.line(x2, y2, x2 - arrow_len * math.cos(angle + 0.4), y2 - arrow_len * math.sin(angle + 0.4)) |
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def _draw_architecture(self): |
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"""Draw the high-level SPARKNET architecture.""" |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 12) |
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self.canv.drawCentredString(self.width/2, self.height - 20, 'SPARKNET Architecture Overview') |
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self._draw_box(self.width/2 - 60, self.height - 70, 120, 35, 'User Interface', ACCENT_BLUE) |
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self.canv.setFillColor(LIGHT_BLUE) |
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self.canv.roundRect(30, self.height - 160, self.width - 60, 70, 8, fill=1, stroke=0) |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 10) |
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self.canv.drawString(40, self.height - 100, 'Streamlit Demo Application') |
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pages = ['Live\nProcessing', 'Interactive\nRAG', 'Doc\nComparison', 'Evidence\nViewer', 'Doc\nViewer'] |
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page_width = (self.width - 100) / 5 |
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for i, page in enumerate(pages): |
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x = 45 + i * page_width |
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self._draw_box(x, self.height - 150, page_width - 10, 35, page.replace('\n', ' '), SECONDARY_BLUE, font_size=7) |
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self._draw_arrow(self.width/2, self.height - 70, self.width/2, self.height - 90, ACCENT_BLUE) |
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self.canv.setFillColor(LIGHT_BLUE) |
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self.canv.roundRect(30, self.height - 280, self.width - 60, 100, 8, fill=1, stroke=0) |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 10) |
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self.canv.drawString(40, self.height - 190, 'Core Services') |
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self._draw_box(50, self.height - 230, 100, 30, 'Document Intel', PRIMARY_BLUE, font_size=8) |
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self._draw_box(170, self.height - 230, 100, 30, 'Multi-Agent RAG', PRIMARY_BLUE, font_size=8) |
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self._draw_box(290, self.height - 230, 100, 30, 'Vector Store', PRIMARY_BLUE, font_size=8) |
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self._draw_box(410, self.height - 230, 80, 30, 'LLM Layer', PRIMARY_BLUE, font_size=8) |
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self._draw_box(50, self.height - 270, 100, 30, 'OCR + Layout', SECONDARY_BLUE, font_size=7) |
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self._draw_box(170, self.height - 270, 100, 30, '5 Agents', SECONDARY_BLUE, font_size=7) |
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self._draw_box(290, self.height - 270, 100, 30, 'ChromaDB', SECONDARY_BLUE, font_size=7) |
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self._draw_box(410, self.height - 270, 80, 30, 'Ollama', SECONDARY_BLUE, font_size=7) |
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self._draw_arrow(self.width/2, self.height - 160, self.width/2, self.height - 180, ACCENT_BLUE) |
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self.canv.setFillColor(GRAY_LIGHT) |
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self.canv.roundRect(30, self.height - 340, self.width - 60, 45, 8, fill=1, stroke=0) |
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self.canv.setFillColor(GRAY_DARK) |
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self.canv.setFont('Helvetica-Bold', 10) |
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self.canv.drawString(40, self.height - 310, 'Persistent Storage') |
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self._draw_box(150, self.height - 335, 80, 25, 'Embeddings', GRAY_DARK, font_size=7) |
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self._draw_box(250, self.height - 335, 80, 25, 'Documents', GRAY_DARK, font_size=7) |
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self._draw_box(350, self.height - 335, 80, 25, 'Cache', GRAY_DARK, font_size=7) |
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self._draw_arrow(self.width/2, self.height - 280, self.width/2, self.height - 295, GRAY_DARK) |
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def _draw_rag_pipeline(self): |
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"""Draw the Multi-Agent RAG Pipeline.""" |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 12) |
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self.canv.drawCentredString(self.width/2, self.height - 20, 'Multi-Agent RAG Pipeline') |
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self._draw_box(20, self.height - 70, 80, 30, 'User Query', ACCENT_BLUE, font_size=8) |
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agents = [ |
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('QueryPlanner', PRIMARY_BLUE, 'Intent Classification\nQuery Decomposition'), |
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('Retriever', SECONDARY_BLUE, 'Hybrid Search\nDense + Sparse'), |
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('Reranker', SECONDARY_BLUE, 'Cross-Encoder\nMMR Diversity'), |
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('Synthesizer', PRIMARY_BLUE, 'Answer Generation\nCitation Tracking'), |
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('Critic', WARNING_ORANGE, 'Hallucination Check\nValidation'), |
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] |
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x_start = 120 |
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box_width = 80 |
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spacing = 10 |
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for i, (name, color, desc) in enumerate(agents): |
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x = x_start + i * (box_width + spacing) |
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self._draw_box(x, self.height - 70, box_width, 30, name, color, font_size=7) |
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self.canv.setFillColor(GRAY_DARK) |
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self.canv.setFont('Helvetica', 6) |
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lines = desc.split('\n') |
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for j, line in enumerate(lines): |
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self.canv.drawCentredString(x + box_width/2, self.height - 85 - j*8, line) |
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if i < len(agents) - 1: |
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self._draw_arrow(x + box_width, self.height - 55, x + box_width + spacing, self.height - 55, GRAY_DARK) |
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self._draw_arrow(100, self.height - 55, 120, self.height - 55, ACCENT_BLUE) |
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self.canv.setStrokeColor(WARNING_ORANGE) |
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self.canv.setLineWidth(1.5) |
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self.canv.setDash(3, 3) |
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critic_x = x_start + 4 * (box_width + spacing) + box_width |
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synth_x = x_start + 3 * (box_width + spacing) |
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self.canv.line(critic_x - 40, self.height - 100, synth_x + 40, self.height - 100) |
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self.canv.setDash() |
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self.canv.setFillColor(WARNING_ORANGE) |
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self.canv.setFont('Helvetica-Oblique', 7) |
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self.canv.drawCentredString((critic_x + synth_x)/2, self.height - 115, 'Revision Loop (if validation fails)') |
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self._draw_box(critic_x + 20, self.height - 70, 80, 30, 'Response', SUCCESS_GREEN, font_size=8) |
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self._draw_arrow(critic_x, self.height - 55, critic_x + 20, self.height - 55, SUCCESS_GREEN) |
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self.canv.setFillColor(LIGHT_BLUE) |
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self.canv.roundRect(20, self.height - 160, self.width - 40, 35, 5, fill=1, stroke=0) |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 8) |
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self.canv.drawString(30, self.height - 145, 'RAGState: Query → Plan → Retrieved Chunks → Reranked → Answer → Validation → Citations') |
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def _draw_document_pipeline(self): |
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"""Draw Document Processing Pipeline.""" |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 12) |
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self.canv.drawCentredString(self.width/2, self.height - 20, 'Document Processing Pipeline') |
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stages = [ |
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('Input', 'PDF/Image\nUpload', ACCENT_BLUE), |
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('OCR', 'PaddleOCR\nTesseract', PRIMARY_BLUE), |
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('Layout', 'Region\nDetection', PRIMARY_BLUE), |
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('Reading\nOrder', 'Sequence\nReconstruction', SECONDARY_BLUE), |
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('Chunking', 'Semantic\nSplitting', SECONDARY_BLUE), |
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('Indexing', 'ChromaDB\nEmbedding', SUCCESS_GREEN), |
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] |
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box_width = 70 |
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box_height = 45 |
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spacing = 15 |
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total_width = len(stages) * box_width + (len(stages) - 1) * spacing |
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x_start = (self.width - total_width) / 2 |
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y_pos = self.height - 90 |
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for i, (name, desc, color) in enumerate(stages): |
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x = x_start + i * (box_width + spacing) |
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self._draw_box(x, y_pos, box_width, box_height, name.replace('\n', ' '), color, font_size=8) |
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self.canv.setFillColor(GRAY_DARK) |
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self.canv.setFont('Helvetica', 6) |
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lines = desc.split('\n') |
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for j, line in enumerate(lines): |
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self.canv.drawCentredString(x + box_width/2, y_pos - 15 - j*8, line) |
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if i < len(stages) - 1: |
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self._draw_arrow(x + box_width, y_pos + box_height/2, x + box_width + spacing, y_pos + box_height/2) |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 9) |
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self.canv.drawCentredString(self.width/2, self.height - 160, 'Output: ProcessedDocument with chunks, OCR regions, layout data, bounding boxes') |
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def _draw_agent_interaction(self): |
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"""Draw Agent Interaction Diagram.""" |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 12) |
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self.canv.drawCentredString(self.width/2, self.height - 20, 'Agent Interaction & Data Flow') |
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center_x, center_y = self.width/2, self.height/2 - 20 |
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self._draw_box(center_x - 50, center_y - 20, 100, 40, 'Orchestrator', PRIMARY_BLUE, font_size=9) |
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import math |
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agents = [ |
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('QueryPlanner', -120, 60), |
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('Retriever', 0, 90), |
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('Reranker', 120, 60), |
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('Synthesizer', 120, -60), |
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('Critic', 0, -90), |
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] |
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for name, dx, dy in agents: |
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x = center_x + dx - 45 |
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y = center_y + dy - 15 |
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self._draw_box(x, y, 90, 30, name, SECONDARY_BLUE, font_size=8) |
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if dy > 0: |
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self._draw_arrow(center_x, center_y + 20, center_x + dx*0.3, center_y + dy - 15, ACCENT_BLUE) |
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else: |
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self._draw_arrow(center_x + dx*0.3, center_y + dy + 15, center_x, center_y - 20, ACCENT_BLUE) |
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self._draw_box(30, center_y - 15, 70, 30, 'ChromaDB', SUCCESS_GREEN, font_size=8) |
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self._draw_arrow(100, center_y, center_x - 50, center_y, SUCCESS_GREEN) |
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self._draw_box(self.width - 100, center_y - 15, 70, 30, 'Ollama LLM', WARNING_ORANGE, font_size=8) |
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self._draw_arrow(self.width - 100, center_y, center_x + 50, center_y, WARNING_ORANGE) |
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def _draw_data_flow(self): |
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"""Draw Data Flow Diagram.""" |
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self.canv.setFillColor(PRIMARY_BLUE) |
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self.canv.setFont('Helvetica-Bold', 12) |
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self.canv.drawCentredString(self.width/2, self.height - 20, 'End-to-End Data Flow') |
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items = [ |
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('Document Upload', ACCENT_BLUE, 'PDF, Images, Text files'), |
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('Document Processor', PRIMARY_BLUE, 'OCR → Layout → Chunking'), |
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('State Manager', SECONDARY_BLUE, 'ProcessedDocument storage'), |
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|
('Embedder', SECONDARY_BLUE, 'mxbai-embed-large (1024d)'), |
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('ChromaDB', SUCCESS_GREEN, 'Vector indexing & storage'), |
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|
('RAG Query', WARNING_ORANGE, 'User question processing'), |
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|
('Multi-Agent Pipeline', PRIMARY_BLUE, '5-agent collaboration'), |
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|
('Response', SUCCESS_GREEN, 'Answer with citations'), |
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|
] |
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|
|
|
box_height = 28 |
|
|
spacing = 8 |
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|
total_height = len(items) * box_height + (len(items) - 1) * spacing |
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|
y_start = self.height - 50 |
|
|
box_width = 160 |
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|
x_center = self.width / 2 - box_width / 2 |
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|
|
for i, (name, color, desc) in enumerate(items): |
|
|
y = y_start - i * (box_height + spacing) |
|
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self._draw_box(x_center, y - box_height, box_width, box_height, name, color, font_size=8) |
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|
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self.canv.setFillColor(GRAY_DARK) |
|
|
self.canv.setFont('Helvetica', 7) |
|
|
self.canv.drawString(x_center + box_width + 15, y - box_height/2 - 3, desc) |
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|
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|
|
if i < len(items) - 1: |
|
|
self._draw_arrow(x_center + box_width/2, y - box_height, x_center + box_width/2, y - box_height - spacing + 2) |
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|
|
|
|
|
|
def create_styles(): |
|
|
"""Create custom paragraph styles.""" |
|
|
styles = getSampleStyleSheet() |
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|
|
|
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|
|
styles.add(ParagraphStyle( |
|
|
name='MainTitle', |
|
|
parent=styles['Title'], |
|
|
fontSize=28, |
|
|
textColor=PRIMARY_BLUE, |
|
|
spaceAfter=30, |
|
|
alignment=TA_CENTER, |
|
|
fontName='Helvetica-Bold' |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='Subtitle', |
|
|
parent=styles['Normal'], |
|
|
fontSize=16, |
|
|
textColor=SECONDARY_BLUE, |
|
|
spaceAfter=20, |
|
|
alignment=TA_CENTER, |
|
|
fontName='Helvetica' |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='SectionHeader', |
|
|
parent=styles['Heading1'], |
|
|
fontSize=18, |
|
|
textColor=PRIMARY_BLUE, |
|
|
spaceBefore=25, |
|
|
spaceAfter=15, |
|
|
fontName='Helvetica-Bold', |
|
|
borderColor=ACCENT_BLUE, |
|
|
borderWidth=2, |
|
|
borderPadding=5, |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='SubsectionHeader', |
|
|
parent=styles['Heading2'], |
|
|
fontSize=14, |
|
|
textColor=SECONDARY_BLUE, |
|
|
spaceBefore=15, |
|
|
spaceAfter=10, |
|
|
fontName='Helvetica-Bold' |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='CustomBody', |
|
|
parent=styles['Normal'], |
|
|
fontSize=10, |
|
|
textColor=GRAY_DARK, |
|
|
spaceAfter=8, |
|
|
alignment=TA_JUSTIFY, |
|
|
leading=14 |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='BulletText', |
|
|
parent=styles['Normal'], |
|
|
fontSize=10, |
|
|
textColor=GRAY_DARK, |
|
|
leftIndent=20, |
|
|
spaceAfter=5, |
|
|
leading=13 |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='Caption', |
|
|
parent=styles['Normal'], |
|
|
fontSize=9, |
|
|
textColor=GRAY_DARK, |
|
|
alignment=TA_CENTER, |
|
|
spaceAfter=15, |
|
|
fontName='Helvetica-Oblique' |
|
|
)) |
|
|
|
|
|
|
|
|
styles.add(ParagraphStyle( |
|
|
name='HighlightText', |
|
|
parent=styles['Normal'], |
|
|
fontSize=10, |
|
|
textColor=PRIMARY_BLUE, |
|
|
spaceAfter=5, |
|
|
fontName='Helvetica-Bold' |
|
|
)) |
|
|
|
|
|
return styles |
|
|
|
|
|
|
|
|
def create_highlight_box(text, styles, color=LIGHT_BLUE): |
|
|
"""Create a highlighted text box.""" |
|
|
data = [[Paragraph(text, styles['HighlightText'])]] |
|
|
table = Table(data, colWidths=[450]) |
|
|
table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, -1), color), |
|
|
('BOX', (0, 0), (-1, -1), 1, ACCENT_BLUE), |
|
|
('PADDING', (0, 0), (-1, -1), 12), |
|
|
('VALIGN', (0, 0), (-1, -1), 'MIDDLE'), |
|
|
])) |
|
|
return table |
|
|
|
|
|
|
|
|
def create_status_table(items, styles): |
|
|
"""Create a status table with colored indicators.""" |
|
|
data = [['Component', 'Status', 'Completion']] |
|
|
for item, status, completion in items: |
|
|
if status == 'Complete': |
|
|
status_color = SUCCESS_GREEN |
|
|
elif status == 'In Progress': |
|
|
status_color = WARNING_ORANGE |
|
|
else: |
|
|
status_color = DANGER_RED |
|
|
data.append([item, status, completion]) |
|
|
|
|
|
table = Table(data, colWidths=[250, 100, 100]) |
|
|
table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 10), |
|
|
('ALIGN', (1, 0), (-1, -1), 'CENTER'), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 8), |
|
|
])) |
|
|
return table |
|
|
|
|
|
|
|
|
def create_metrics_table(metrics, styles): |
|
|
"""Create a metrics display table.""" |
|
|
data = [] |
|
|
for metric, value, change in metrics: |
|
|
data.append([metric, value, change]) |
|
|
|
|
|
table = Table(data, colWidths=[200, 150, 100]) |
|
|
table.setStyle(TableStyle([ |
|
|
('FONTNAME', (0, 0), (0, -1), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 11), |
|
|
('TEXTCOLOR', (1, 0), (1, -1), PRIMARY_BLUE), |
|
|
('ALIGN', (1, 0), (-1, -1), 'CENTER'), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('PADDING', (0, 0), (-1, -1), 10), |
|
|
('ROWBACKGROUNDS', (0, 0), (-1, -1), [LIGHT_BLUE, WHITE]), |
|
|
])) |
|
|
return table |
|
|
|
|
|
|
|
|
def generate_report(): |
|
|
"""Generate the complete SPARKNET progress report PDF.""" |
|
|
|
|
|
filename = '/home/mhamdan/SPARKNET/docs/SPARKNET_Progress_Report.pdf' |
|
|
os.makedirs(os.path.dirname(filename), exist_ok=True) |
|
|
|
|
|
doc = SimpleDocTemplate( |
|
|
filename, |
|
|
pagesize=A4, |
|
|
rightMargin=50, |
|
|
leftMargin=50, |
|
|
topMargin=60, |
|
|
bottomMargin=60 |
|
|
) |
|
|
|
|
|
styles = create_styles() |
|
|
story = [] |
|
|
|
|
|
|
|
|
story.append(Spacer(1, 100)) |
|
|
story.append(Paragraph('SPARKNET', styles['MainTitle'])) |
|
|
story.append(Paragraph('Multi-Agentic Document Intelligence Framework', styles['Subtitle'])) |
|
|
story.append(Spacer(1, 30)) |
|
|
story.append(Paragraph('Progress Report & Future Roadmap', styles['Subtitle'])) |
|
|
story.append(Spacer(1, 50)) |
|
|
|
|
|
|
|
|
version_data = [ |
|
|
['Version', '1.0.0-beta'], |
|
|
['Report Date', datetime.now().strftime('%B %d, %Y')], |
|
|
['Document Type', 'Stakeholder Progress Report'], |
|
|
['Classification', 'Internal / Confidential'], |
|
|
] |
|
|
version_table = Table(version_data, colWidths=[150, 200]) |
|
|
version_table.setStyle(TableStyle([ |
|
|
('FONTNAME', (0, 0), (0, -1), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 10), |
|
|
('TEXTCOLOR', (0, 0), (-1, -1), GRAY_DARK), |
|
|
('ALIGN', (0, 0), (-1, -1), 'CENTER'), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, ACCENT_BLUE), |
|
|
('PADDING', (0, 0), (-1, -1), 8), |
|
|
('BACKGROUND', (0, 0), (-1, -1), LIGHT_BLUE), |
|
|
])) |
|
|
story.append(version_table) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('Table of Contents', styles['SectionHeader'])) |
|
|
story.append(Spacer(1, 20)) |
|
|
|
|
|
toc_items = [ |
|
|
('1. Executive Summary', '3'), |
|
|
('2. Project Overview', '4'), |
|
|
('3. Technical Architecture', '5'), |
|
|
('4. Component Deep Dive', '8'), |
|
|
('5. Current Progress & Achievements', '12'), |
|
|
('6. Gap Analysis', '14'), |
|
|
('7. Future Work & Roadmap', '17'), |
|
|
('8. Risk Assessment', '20'), |
|
|
('9. Resource Requirements', '21'), |
|
|
('10. Conclusion & Recommendations', '22'), |
|
|
] |
|
|
|
|
|
toc_data = [[Paragraph(f'<b>{item}</b>', styles['CustomBody']), page] for item, page in toc_items] |
|
|
toc_table = Table(toc_data, colWidths=[400, 50]) |
|
|
toc_table.setStyle(TableStyle([ |
|
|
('FONTSIZE', (0, 0), (-1, -1), 11), |
|
|
('ALIGN', (1, 0), (1, -1), 'RIGHT'), |
|
|
('BOTTOMPADDING', (0, 0), (-1, -1), 8), |
|
|
('LINEBELOW', (0, 0), (-1, -2), 0.5, colors.lightgrey), |
|
|
])) |
|
|
story.append(toc_table) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('1. Executive Summary', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph( |
|
|
'''SPARKNET represents a next-generation document intelligence platform that combines |
|
|
advanced OCR capabilities, sophisticated layout analysis, and a state-of-the-art |
|
|
Multi-Agent Retrieval-Augmented Generation (RAG) system. This report provides a |
|
|
comprehensive overview of the project's current state, technical achievements, |
|
|
identified gaps, and the strategic roadmap for future development.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>Key Highlights</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
highlights = [ |
|
|
'<b>Multi-Agent RAG Architecture:</b> Successfully implemented a 5-agent pipeline (QueryPlanner, Retriever, Reranker, Synthesizer, Critic) with self-correction capabilities.', |
|
|
'<b>Document Processing Pipeline:</b> Complete end-to-end document processing with OCR, layout detection, and semantic chunking.', |
|
|
'<b>Production-Ready Demo:</b> Fully functional Streamlit application with 5 interactive modules for document intelligence workflows.', |
|
|
'<b>Hallucination Detection:</b> Built-in validation and criticism system to ensure factual accuracy of generated responses.', |
|
|
'<b>Unified State Management:</b> Cross-module communication enabling seamless user experience across all application components.', |
|
|
] |
|
|
|
|
|
for h in highlights: |
|
|
story.append(Paragraph(f'• {h}', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 20)) |
|
|
|
|
|
|
|
|
story.append(Paragraph('<b>Current System Metrics</b>', styles['SubsectionHeader'])) |
|
|
metrics = [ |
|
|
('RAG Pipeline Agents', '5 Specialized Agents', '✓ Complete'), |
|
|
('Document Formats Supported', 'PDF, Images', '2 formats'), |
|
|
('Vector Dimensions', '1024 (mxbai-embed-large)', 'Production'), |
|
|
('Demo Application Pages', '5 Interactive Modules', '✓ Complete'), |
|
|
('LLM Integration', 'Ollama (Local)', 'Self-hosted'), |
|
|
] |
|
|
story.append(create_metrics_table(metrics, styles)) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('2. Project Overview', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>2.1 Vision & Objectives</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''SPARKNET aims to revolutionize document intelligence by providing an integrated |
|
|
platform that can understand, process, and intelligently query complex documents. |
|
|
The system leverages cutting-edge AI techniques including multi-agent collaboration, |
|
|
hybrid retrieval, and sophisticated answer synthesis with built-in validation.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>Core Objectives:</b>', styles['CustomBody'])) |
|
|
|
|
|
objectives = [ |
|
|
'<b>Intelligent Document Understanding:</b> Extract and structure information from diverse document formats with high accuracy.', |
|
|
'<b>Conversational Intelligence:</b> Enable natural language querying over document collections with citation-backed responses.', |
|
|
'<b>Reliability & Trust:</b> Implement hallucination detection and self-correction to ensure factual accuracy.', |
|
|
'<b>Scalability:</b> Design for enterprise-scale document processing and retrieval workloads.', |
|
|
'<b>Extensibility:</b> Modular architecture allowing easy integration of new capabilities and models.', |
|
|
] |
|
|
|
|
|
for obj in objectives: |
|
|
story.append(Paragraph(f'• {obj}', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>2.2 Target Use Cases</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
use_cases = [ |
|
|
['Use Case', 'Description', 'Status'], |
|
|
['Legal Document Analysis', 'Contract review, clause extraction, compliance checking', 'Supported'], |
|
|
['Research Paper Synthesis', 'Multi-paper querying, citation tracking, summary generation', 'Supported'], |
|
|
['Technical Documentation', 'API docs, manuals, knowledge base querying', 'Supported'], |
|
|
['Financial Reports', 'Annual reports, SEC filings, financial data extraction', 'Planned'], |
|
|
['Medical Records', 'Clinical notes, diagnostic reports (HIPAA compliance needed)', 'Future'], |
|
|
] |
|
|
|
|
|
uc_table = Table(use_cases, colWidths=[130, 230, 90]) |
|
|
uc_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 6), |
|
|
('ALIGN', (2, 0), (2, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(uc_table) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('3. Technical Architecture', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>3.1 High-Level Architecture</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''SPARKNET follows a layered microservices-inspired architecture with clear separation |
|
|
of concerns. The system is organized into presentation, service, and persistence layers, |
|
|
with a central orchestration mechanism coordinating multi-agent workflows.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
arch_diagram = DiagramFlowable(500, 350, 'architecture') |
|
|
story.append(arch_diagram) |
|
|
story.append(Paragraph('Figure 1: SPARKNET High-Level Architecture', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>3.2 Multi-Agent RAG Pipeline</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The heart of SPARKNET is its Multi-Agent RAG system, which orchestrates five |
|
|
specialized agents in a sophisticated pipeline with self-correction capabilities.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
rag_diagram = DiagramFlowable(500, 180, 'rag_pipeline') |
|
|
story.append(rag_diagram) |
|
|
story.append(Paragraph('Figure 2: Multi-Agent RAG Pipeline with Revision Loop', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>3.3 Document Processing Pipeline</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''Documents undergo a multi-stage processing pipeline that extracts text, identifies |
|
|
layout structure, establishes reading order, and creates semantically coherent chunks |
|
|
optimized for retrieval.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
doc_diagram = DiagramFlowable(500, 180, 'document_pipeline') |
|
|
story.append(doc_diagram) |
|
|
story.append(Paragraph('Figure 3: Document Processing Pipeline', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>3.4 Agent Interaction Model</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The orchestrator coordinates all agents, managing state transitions and ensuring |
|
|
proper data flow between components. External services (Vector Store, LLM) are |
|
|
accessed through well-defined interfaces.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
agent_diagram = DiagramFlowable(500, 250, 'agent_interaction') |
|
|
story.append(agent_diagram) |
|
|
story.append(Paragraph('Figure 4: Agent Interaction Model', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>3.5 Data Flow Architecture</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The end-to-end data flow illustrates how documents are processed from upload |
|
|
through indexing, and how queries are handled through the multi-agent pipeline |
|
|
to produce validated, citation-backed responses.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
flow_diagram = DiagramFlowable(500, 320, 'data_flow') |
|
|
story.append(flow_diagram) |
|
|
story.append(Paragraph('Figure 5: End-to-End Data Flow', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('4. Component Deep Dive', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>4.1 Query Planning Agent</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The QueryPlannerAgent is responsible for understanding user intent, classifying |
|
|
query types, and decomposing complex queries into manageable sub-queries.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
|
|
|
query_types = [ |
|
|
['Intent Type', 'Description', 'Example'], |
|
|
['FACTOID', 'Simple fact lookup', '"What is the revenue for Q4?"'], |
|
|
['COMPARISON', 'Multi-entity comparison', '"Compare product A vs B features"'], |
|
|
['AGGREGATION', 'Cross-document summary', '"Summarize all quarterly reports"'], |
|
|
['CAUSAL', 'Why/how explanations', '"Why did revenue decline?"'], |
|
|
['PROCEDURAL', 'Step-by-step instructions', '"How to configure the system?"'], |
|
|
['MULTI_HOP', 'Multi-step reasoning', '"Which supplier has the lowest cost for product X?"'], |
|
|
] |
|
|
|
|
|
qt_table = Table(query_types, colWidths=[90, 180, 180]) |
|
|
qt_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
])) |
|
|
story.append(qt_table) |
|
|
story.append(Paragraph('Table 1: Supported Query Intent Types', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>4.2 Hybrid Retrieval System</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The RetrieverAgent implements a sophisticated hybrid search combining dense |
|
|
semantic retrieval with sparse keyword matching, using Reciprocal Rank Fusion (RRF) |
|
|
to merge results optimally.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
retrieval_features = [ |
|
|
'<b>Dense Retrieval:</b> Embedding-based semantic search using mxbai-embed-large (1024 dimensions)', |
|
|
'<b>Sparse Retrieval:</b> BM25-style keyword matching for precise term matching', |
|
|
'<b>RRF Fusion:</b> Combines rankings using formula: RRF = Σ(1 / (k + rank))', |
|
|
'<b>Intent-Adaptive Weights:</b> Adjusts dense/sparse balance based on query type (e.g., 80/20 for definitions, 50/50 for comparisons)', |
|
|
] |
|
|
|
|
|
for feat in retrieval_features: |
|
|
story.append(Paragraph(f'• {feat}', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>4.3 Cross-Encoder Reranking</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The RerankerAgent applies LLM-based cross-encoder scoring to refine retrieval |
|
|
results, implementing deduplication and Maximal Marginal Relevance (MMR) for |
|
|
diversity promotion.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
reranker_config = [ |
|
|
['Parameter', 'Value', 'Purpose'], |
|
|
['top_k', '5', 'Final result count'], |
|
|
['min_relevance_score', '0.3', 'Quality threshold'], |
|
|
['dedup_threshold', '0.9', 'Similarity for duplicate detection'], |
|
|
['MMR lambda', '0.7', 'Relevance vs diversity balance'], |
|
|
] |
|
|
|
|
|
rr_table = Table(reranker_config, colWidths=[140, 80, 230]) |
|
|
rr_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('PADDING', (0, 0), (-1, -1), 6), |
|
|
])) |
|
|
story.append(rr_table) |
|
|
story.append(Paragraph('Table 2: Reranker Configuration', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>4.4 Answer Synthesis</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The SynthesizerAgent generates comprehensive answers with automatic citation |
|
|
tracking, supporting multiple output formats and implementing intelligent abstention |
|
|
when evidence is insufficient.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Paragraph('<b>Supported Answer Formats:</b>', styles['CustomBody'])) |
|
|
formats = ['PROSE - Flowing paragraph narrative', 'BULLET_POINTS - Enumerated key points', |
|
|
'TABLE - Comparative tabular format', 'STEP_BY_STEP - Procedural instructions'] |
|
|
for fmt in formats: |
|
|
story.append(Paragraph(f'• {fmt}', styles['BulletText'])) |
|
|
|
|
|
story.append(Paragraph('<b>Confidence Calculation:</b>', styles['CustomBody'])) |
|
|
story.append(Paragraph('confidence = 0.5 × source_relevance + 0.3 × source_count_factor + 0.2 × consistency', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>4.5 Validation & Hallucination Detection</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The CriticAgent performs comprehensive validation including hallucination detection, |
|
|
citation verification, and factual consistency checking. It can trigger revision |
|
|
cycles when issues are detected.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
issue_types = [ |
|
|
['Issue Type', 'Description', 'Severity'], |
|
|
['HALLUCINATION', 'Information not supported by sources', 'Critical'], |
|
|
['UNSUPPORTED_CLAIM', 'Statement without citation', 'High'], |
|
|
['INCORRECT_CITATION', 'Citation references wrong source', 'High'], |
|
|
['CONTRADICTION', 'Internal inconsistency in answer', 'Medium'], |
|
|
['INCOMPLETE', 'Missing important information', 'Medium'], |
|
|
['FACTUAL_ERROR', 'Verifiable factual mistake', 'Critical'], |
|
|
] |
|
|
|
|
|
it_table = Table(issue_types, colWidths=[130, 230, 90]) |
|
|
it_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), WARNING_ORANGE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
])) |
|
|
story.append(it_table) |
|
|
story.append(Paragraph('Table 3: Validation Issue Types', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>4.6 Document Processing Components</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>OCR Engines:</b>', styles['CustomBody'])) |
|
|
ocr_comparison = [ |
|
|
['Feature', 'PaddleOCR', 'Tesseract'], |
|
|
['GPU Acceleration', '✓ Yes', '✗ No'], |
|
|
['Multi-language', '✓ 80+ languages', '✓ 100+ languages'], |
|
|
['Accuracy (Clean)', '~95%', '~90%'], |
|
|
['Accuracy (Complex)', '~85%', '~75%'], |
|
|
['Speed', 'Fast', 'Moderate'], |
|
|
['Confidence Scores', '✓ Per-region', '✓ Per-word'], |
|
|
] |
|
|
|
|
|
ocr_table = Table(ocr_comparison, colWidths=[130, 160, 160]) |
|
|
ocr_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
])) |
|
|
story.append(ocr_table) |
|
|
story.append(Paragraph('Table 4: OCR Engine Comparison', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>Layout Detection:</b>', styles['CustomBody'])) |
|
|
layout_types = ['TEXT, TITLE, HEADING, PARAGRAPH - Text regions', |
|
|
'TABLE, FIGURE, CHART - Visual elements', |
|
|
'CAPTION, FOOTNOTE - Supplementary text', |
|
|
'HEADER, FOOTER - Page elements', |
|
|
'FORMULA - Mathematical expressions'] |
|
|
for lt in layout_types: |
|
|
story.append(Paragraph(f'• {lt}', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>Chunking Configuration:</b>', styles['CustomBody'])) |
|
|
chunk_config = [ |
|
|
['Parameter', 'Default', 'Description'], |
|
|
['max_chunk_chars', '1000', 'Maximum characters per chunk'], |
|
|
['min_chunk_chars', '50', 'Minimum viable chunk size'], |
|
|
['overlap_chars', '100', 'Overlap between consecutive chunks'], |
|
|
['Strategy', 'Semantic', 'Respects layout boundaries'], |
|
|
] |
|
|
|
|
|
cc_table = Table(chunk_config, colWidths=[120, 80, 250]) |
|
|
cc_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
])) |
|
|
story.append(cc_table) |
|
|
story.append(Paragraph('Table 5: Chunking Configuration', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('5. Current Progress & Achievements', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>5.1 Development Milestones</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
milestones = [ |
|
|
['Milestone', 'Status', 'Completion'], |
|
|
['Core RAG Pipeline', 'Complete', '100%'], |
|
|
['5-Agent Architecture', 'Complete', '100%'], |
|
|
['Document Processing Pipeline', 'Complete', '100%'], |
|
|
['ChromaDB Integration', 'Complete', '100%'], |
|
|
['Ollama LLM Integration', 'Complete', '100%'], |
|
|
['Streamlit Demo Application', 'Complete', '100%'], |
|
|
['State Management System', 'Complete', '100%'], |
|
|
['Hallucination Detection', 'Complete', '100%'], |
|
|
['PDF Processing', 'Complete', '100%'], |
|
|
['Self-Correction Loop', 'Complete', '100%'], |
|
|
] |
|
|
|
|
|
ms_table = Table(milestones, colWidths=[220, 120, 110]) |
|
|
ms_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 6), |
|
|
('ALIGN', (1, 0), (-1, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(ms_table) |
|
|
story.append(Paragraph('Table 6: Development Milestones', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>5.2 Demo Application Features</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
demo_features = [ |
|
|
['Page', 'Features', 'Status'], |
|
|
['Live Processing', 'Real-time document processing, progress tracking, auto-indexing', '✓ Complete'], |
|
|
['Interactive RAG', 'Query interface, document filtering, chunk preview, citations', '✓ Complete'], |
|
|
['Document Comparison', 'Semantic similarity, structure analysis, content diff', '✓ Complete'], |
|
|
['Evidence Viewer', 'Confidence coloring, bounding boxes, OCR regions, export', '✓ Complete'], |
|
|
['Document Viewer', 'Multi-tab view, chunk display, layout visualization', '✓ Complete'], |
|
|
] |
|
|
|
|
|
df_table = Table(demo_features, colWidths=[110, 270, 70]) |
|
|
df_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
('ALIGN', (2, 0), (2, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(df_table) |
|
|
story.append(Paragraph('Table 7: Demo Application Features', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>5.3 Technical Achievements</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
achievements = [ |
|
|
'<b>Hybrid Retrieval:</b> Successfully combined dense and sparse retrieval with RRF fusion, achieving better recall than either method alone.', |
|
|
'<b>Self-Correction:</b> Implemented revision loop allowing the system to automatically fix issues detected by the Critic agent.', |
|
|
'<b>Citation Tracking:</b> Automatic citation generation with [N] notation linking answers to source documents.', |
|
|
'<b>Confidence Scoring:</b> Multi-factor confidence calculation providing transparency into answer reliability.', |
|
|
'<b>Streaming Support:</b> Real-time response streaming for improved user experience during long generations.', |
|
|
'<b>Cross-Module Communication:</b> Unified state manager enabling seamless navigation between application modules.', |
|
|
] |
|
|
|
|
|
for ach in achievements: |
|
|
story.append(Paragraph(f'• {ach}', styles['BulletText'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('6. Gap Analysis', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph( |
|
|
'''This section identifies current limitations and gaps in the SPARKNET system |
|
|
that represent opportunities for improvement and future development.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>6.1 Functional Gaps</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
functional_gaps = [ |
|
|
['Gap ID', 'Category', 'Description', 'Impact', 'Priority'], |
|
|
['FG-001', 'Document Support', 'Limited to PDF and images; no Word, Excel, PowerPoint support', 'High', 'P1'], |
|
|
['FG-002', 'Table Extraction', 'Table structure not preserved during chunking', 'High', 'P1'], |
|
|
['FG-003', 'Multi-modal', 'No image/chart understanding within documents', 'Medium', 'P2'], |
|
|
['FG-004', 'Languages', 'Primarily English; limited multi-language support', 'Medium', 'P2'], |
|
|
['FG-005', 'Batch Processing', 'No bulk document upload/processing capability', 'Medium', 'P2'], |
|
|
['FG-006', 'Document Updates', 'No incremental update; full reprocessing required', 'Medium', 'P2'], |
|
|
['FG-007', 'User Feedback', 'No mechanism to learn from user corrections', 'Low', 'P3'], |
|
|
] |
|
|
|
|
|
fg_table = Table(functional_gaps, colWidths=[50, 85, 200, 55, 55]) |
|
|
fg_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), DANGER_RED), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
('ALIGN', (0, 0), (0, -1), 'CENTER'), |
|
|
('ALIGN', (3, 0), (-1, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(fg_table) |
|
|
story.append(Paragraph('Table 8: Functional Gaps', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>6.2 Technical Gaps</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
technical_gaps = [ |
|
|
['Gap ID', 'Category', 'Description', 'Impact', 'Priority'], |
|
|
['TG-001', 'Scalability', 'Single-node architecture; no distributed processing', 'High', 'P1'], |
|
|
['TG-002', 'Authentication', 'No user authentication or access control', 'High', 'P1'], |
|
|
['TG-003', 'API', 'No REST API for external integration', 'High', 'P1'], |
|
|
['TG-004', 'Caching', 'Limited query result caching; redundant LLM calls', 'Medium', 'P2'], |
|
|
['TG-005', 'Monitoring', 'Basic logging only; no metrics/alerting system', 'Medium', 'P2'], |
|
|
['TG-006', 'Testing', 'Limited test coverage; no integration tests', 'Medium', 'P2'], |
|
|
['TG-007', 'Cloud Deploy', 'Not containerized; no Kubernetes manifests', 'Medium', 'P2'], |
|
|
['TG-008', 'GPU Sharing', 'Single GPU utilization; no multi-GPU support', 'Low', 'P3'], |
|
|
] |
|
|
|
|
|
tg_table = Table(technical_gaps, colWidths=[50, 80, 205, 55, 55]) |
|
|
tg_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), WARNING_ORANGE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
('ALIGN', (0, 0), (0, -1), 'CENTER'), |
|
|
('ALIGN', (3, 0), (-1, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(tg_table) |
|
|
story.append(Paragraph('Table 9: Technical Gaps', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>6.3 Performance Gaps</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
perf_gaps = [ |
|
|
['Gap ID', 'Metric', 'Current', 'Target', 'Gap'], |
|
|
['PG-001', 'Query Latency (simple)', '3-5 seconds', '<2 seconds', '~2x improvement needed'], |
|
|
['PG-002', 'Query Latency (complex)', '10-20 seconds', '<5 seconds', '~3x improvement needed'], |
|
|
['PG-003', 'Document Processing', '30-60 sec/page', '<10 sec/page', '~4x improvement needed'], |
|
|
['PG-004', 'Concurrent Users', '1-5', '50+', 'Major scaling required'], |
|
|
['PG-005', 'Index Size', '10K chunks', '1M+ chunks', 'Architecture redesign'], |
|
|
['PG-006', 'Accuracy (hallucination)', '~85%', '>95%', '~10% improvement'], |
|
|
] |
|
|
|
|
|
pg_table = Table(perf_gaps, colWidths=[50, 120, 90, 90, 100]) |
|
|
pg_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
('ALIGN', (0, 0), (-1, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(pg_table) |
|
|
story.append(Paragraph('Table 10: Performance Gaps', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>6.4 Security & Compliance Gaps</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
security_gaps = [ |
|
|
'<b>No Authentication:</b> Currently no user login or session management', |
|
|
'<b>No Authorization:</b> Missing role-based access control (RBAC) for documents', |
|
|
'<b>Data Encryption:</b> Documents and embeddings stored unencrypted at rest', |
|
|
'<b>Audit Logging:</b> No comprehensive audit trail for compliance requirements', |
|
|
'<b>PII Detection:</b> No automatic detection/redaction of personally identifiable information', |
|
|
'<b>GDPR/HIPAA:</b> Not compliant with major data protection regulations', |
|
|
] |
|
|
|
|
|
for sg in security_gaps: |
|
|
story.append(Paragraph(f'• {sg}', styles['BulletText'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('7. Future Work & Roadmap', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>7.1 Strategic Roadmap Overview</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''The SPARKNET roadmap is organized into three phases, each building upon the |
|
|
previous to transform the current prototype into a production-ready enterprise |
|
|
solution.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
|
|
|
|
|
|
roadmap = [ |
|
|
['Phase', 'Timeline', 'Focus Areas', 'Key Deliverables'], |
|
|
['Phase 1:\nFoundation', 'Q1-Q2 2026', |
|
|
'Stability, Core Features,\nBasic Security', |
|
|
'• REST API\n• Authentication\n• Extended document formats\n• Basic containerization'], |
|
|
['Phase 2:\nScale', 'Q3-Q4 2026', |
|
|
'Performance, Scalability,\nEnterprise Features', |
|
|
'• Distributed processing\n• Advanced caching\n• Multi-tenancy\n• Monitoring & alerting'], |
|
|
['Phase 3:\nInnovation', 'Q1-Q2 2027', |
|
|
'Advanced AI, Compliance,\nEcosystem', |
|
|
'• Multi-modal understanding\n• Compliance frameworks\n• Plugin architecture\n• Advanced analytics'], |
|
|
] |
|
|
|
|
|
rm_table = Table(roadmap, colWidths=[70, 80, 130, 170]) |
|
|
rm_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [LIGHT_BLUE, WHITE]), |
|
|
('PADDING', (0, 0), (-1, -1), 6), |
|
|
('VALIGN', (0, 0), (-1, -1), 'TOP'), |
|
|
])) |
|
|
story.append(rm_table) |
|
|
story.append(Paragraph('Table 11: Strategic Roadmap', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>7.2 Phase 1: Foundation (Q1-Q2 2026)</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
phase1_items = [ |
|
|
['Item', 'Description', 'Effort', 'Dependencies'], |
|
|
['REST API Development', 'FastAPI-based API for all core functions', '4 weeks', 'None'], |
|
|
['User Authentication', 'JWT-based auth with OAuth2 support', '3 weeks', 'API'], |
|
|
['Document Format Extension', 'Add Word, Excel, PowerPoint support', '4 weeks', 'None'], |
|
|
['Table Extraction', 'Preserve table structure in processing', '3 weeks', 'None'], |
|
|
['Docker Containerization', 'Production-ready Docker images', '2 weeks', 'None'], |
|
|
['Basic CI/CD Pipeline', 'Automated testing and deployment', '2 weeks', 'Docker'], |
|
|
['Query Result Caching', 'Redis-based caching layer', '2 weeks', 'API'], |
|
|
['Unit Test Coverage', 'Achieve 80% code coverage', '3 weeks', 'Ongoing'], |
|
|
] |
|
|
|
|
|
p1_table = Table(phase1_items, colWidths=[130, 180, 60, 80]) |
|
|
p1_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SUCCESS_GREEN), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
])) |
|
|
story.append(p1_table) |
|
|
story.append(Paragraph('Table 12: Phase 1 Deliverables', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
story.append(Paragraph('<b>7.3 Phase 2: Scale (Q3-Q4 2026)</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
phase2_items = [ |
|
|
['Item', 'Description', 'Effort', 'Dependencies'], |
|
|
['Distributed Processing', 'Celery/Ray for parallel document processing', '6 weeks', 'Phase 1'], |
|
|
['Vector Store Scaling', 'Milvus/Pinecone for large-scale indices', '4 weeks', 'Phase 1'], |
|
|
['Multi-tenancy', 'Organization-based data isolation', '4 weeks', 'Auth'], |
|
|
['Kubernetes Deployment', 'Full K8s manifests and Helm charts', '3 weeks', 'Docker'], |
|
|
['Monitoring Stack', 'Prometheus, Grafana, ELK integration', '3 weeks', 'K8s'], |
|
|
['Batch Processing', 'Bulk document upload and processing', '3 weeks', 'Distributed'], |
|
|
['Advanced Caching', 'Semantic caching for similar queries', '3 weeks', 'Cache'], |
|
|
['Performance Optimization', 'Achieve <2s simple query latency', '4 weeks', 'Caching'], |
|
|
] |
|
|
|
|
|
p2_table = Table(phase2_items, colWidths=[130, 180, 60, 80]) |
|
|
p2_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), WARNING_ORANGE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
])) |
|
|
story.append(p2_table) |
|
|
story.append(Paragraph('Table 13: Phase 2 Deliverables', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>7.4 Phase 3: Innovation (Q1-Q2 2027)</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
phase3_items = [ |
|
|
['Item', 'Description', 'Effort', 'Dependencies'], |
|
|
['Multi-modal Understanding', 'GPT-4V/Claude Vision for image analysis', '6 weeks', 'Phase 2'], |
|
|
['Advanced Table QA', 'SQL-like queries over extracted tables', '4 weeks', 'Table Extract'], |
|
|
['PII Detection/Redaction', 'Automatic sensitive data handling', '4 weeks', 'None'], |
|
|
['Compliance Framework', 'GDPR, HIPAA, SOC2 compliance', '8 weeks', 'PII'], |
|
|
['Plugin Architecture', 'Extensible agent and tool system', '4 weeks', 'Phase 2'], |
|
|
['Analytics Dashboard', 'Usage analytics and insights', '3 weeks', 'Monitoring'], |
|
|
['Multi-language Support', 'Full support for top 10 languages', '4 weeks', 'None'], |
|
|
['Feedback Learning', 'Learn from user corrections', '4 weeks', 'Analytics'], |
|
|
] |
|
|
|
|
|
p3_table = Table(phase3_items, colWidths=[130, 180, 60, 80]) |
|
|
p3_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), ACCENT_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 4), |
|
|
])) |
|
|
story.append(p3_table) |
|
|
story.append(Paragraph('Table 14: Phase 3 Deliverables', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('8. Risk Assessment', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>8.1 Technical Risks</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
tech_risks = [ |
|
|
['Risk', 'Probability', 'Impact', 'Mitigation'], |
|
|
['LLM API Changes', 'Medium', 'High', 'Abstract LLM interface; support multiple providers'], |
|
|
['Scaling Bottlenecks', 'High', 'High', 'Early load testing; phased rollout'], |
|
|
['Model Accuracy Plateau', 'Medium', 'Medium', 'Ensemble approaches; fine-tuning capability'], |
|
|
['Dependency Vulnerabilities', 'Medium', 'Medium', 'Regular dependency audits; Dependabot'], |
|
|
['Data Loss', 'Low', 'Critical', 'Automated backups; disaster recovery plan'], |
|
|
] |
|
|
|
|
|
tr_table = Table(tech_risks, colWidths=[120, 70, 70, 190]) |
|
|
tr_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), DANGER_RED), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
('ALIGN', (1, 0), (2, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(tr_table) |
|
|
story.append(Paragraph('Table 15: Technical Risks', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>8.2 Project Risks</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
proj_risks = [ |
|
|
['Risk', 'Probability', 'Impact', 'Mitigation'], |
|
|
['Scope Creep', 'High', 'Medium', 'Strict phase gates; change control process'], |
|
|
['Resource Constraints', 'Medium', 'High', 'Prioritized backlog; MVP focus'], |
|
|
['Timeline Slippage', 'Medium', 'Medium', 'Buffer time; parallel workstreams'], |
|
|
['Knowledge Silos', 'Medium', 'Medium', 'Documentation; pair programming; code reviews'], |
|
|
['Stakeholder Alignment', 'Low', 'High', 'Regular demos; feedback cycles'], |
|
|
] |
|
|
|
|
|
pr_table = Table(proj_risks, colWidths=[120, 70, 70, 190]) |
|
|
pr_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), WARNING_ORANGE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
('ALIGN', (1, 0), (2, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(pr_table) |
|
|
story.append(Paragraph('Table 16: Project Risks', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('9. Resource Requirements', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>9.1 Team Structure (Recommended)</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
team = [ |
|
|
['Role', 'Count', 'Phase 1', 'Phase 2', 'Phase 3'], |
|
|
['Senior ML Engineer', '2', '✓', '✓', '✓'], |
|
|
['Backend Developer', '2', '✓', '✓', '✓'], |
|
|
['Frontend Developer', '1', '✓', '✓', '✓'], |
|
|
['DevOps Engineer', '1', '✓', '✓', '✓'], |
|
|
['QA Engineer', '1', '—', '✓', '✓'], |
|
|
['Technical Lead', '1', '✓', '✓', '✓'], |
|
|
['Product Manager', '1', '✓', '✓', '✓'], |
|
|
] |
|
|
|
|
|
team_table = Table(team, colWidths=[130, 60, 70, 70, 70]) |
|
|
team_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), PRIMARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 9), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 6), |
|
|
('ALIGN', (1, 0), (-1, -1), 'CENTER'), |
|
|
])) |
|
|
story.append(team_table) |
|
|
story.append(Paragraph('Table 17: Team Structure', styles['Caption'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>9.2 Infrastructure Requirements</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
infra = [ |
|
|
['Component', 'Development', 'Staging', 'Production'], |
|
|
['GPU Servers', '1x A100 40GB', '2x A100 40GB', '4x A100 80GB'], |
|
|
['CPU Servers', '4 vCPU, 16GB', '8 vCPU, 32GB', '16 vCPU, 64GB x3'], |
|
|
['Storage', '500GB SSD', '2TB SSD', '10TB SSD + S3'], |
|
|
['Vector DB', 'ChromaDB local', 'Milvus single', 'Milvus cluster'], |
|
|
['Cache', 'In-memory', 'Redis single', 'Redis cluster'], |
|
|
['Load Balancer', 'None', 'Nginx', 'AWS ALB / GCP LB'], |
|
|
] |
|
|
|
|
|
infra_table = Table(infra, colWidths=[100, 120, 120, 110]) |
|
|
infra_table.setStyle(TableStyle([ |
|
|
('BACKGROUND', (0, 0), (-1, 0), SECONDARY_BLUE), |
|
|
('TEXTCOLOR', (0, 0), (-1, 0), WHITE), |
|
|
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'), |
|
|
('FONTSIZE', (0, 0), (-1, -1), 8), |
|
|
('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
|
|
('ROWBACKGROUNDS', (0, 1), (-1, -1), [WHITE, GRAY_LIGHT]), |
|
|
('PADDING', (0, 0), (-1, -1), 5), |
|
|
])) |
|
|
story.append(infra_table) |
|
|
story.append(Paragraph('Table 18: Infrastructure Requirements', styles['Caption'])) |
|
|
|
|
|
story.append(PageBreak()) |
|
|
|
|
|
|
|
|
story.append(Paragraph('10. Conclusion & Recommendations', styles['SectionHeader'])) |
|
|
|
|
|
story.append(Paragraph('<b>10.1 Summary</b>', styles['SubsectionHeader'])) |
|
|
story.append(Paragraph( |
|
|
'''SPARKNET has achieved significant progress as a proof-of-concept for multi-agentic |
|
|
document intelligence. The core RAG pipeline is functional, demonstrating the viability |
|
|
of the 5-agent architecture with self-correction capabilities. The system successfully |
|
|
processes documents, performs hybrid retrieval, and generates citation-backed responses.''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 10)) |
|
|
story.append(Paragraph('<b>10.2 Key Recommendations</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
recommendations = [ |
|
|
'<b>Prioritize API Development:</b> Enable external integrations and unlock enterprise adoption.', |
|
|
'<b>Invest in Security:</b> Authentication and authorization are prerequisites for any production deployment.', |
|
|
'<b>Focus on Performance:</b> Current latency is acceptable for demos but needs significant improvement for production use.', |
|
|
'<b>Expand Document Support:</b> Office formats (Word, Excel, PowerPoint) are critical for enterprise adoption.', |
|
|
'<b>Implement Monitoring:</b> Observability is essential for maintaining and scaling the system.', |
|
|
'<b>Plan for Scale Early:</b> Architectural decisions made now will impact scalability; consider distributed architecture.', |
|
|
] |
|
|
|
|
|
for rec in recommendations: |
|
|
story.append(Paragraph(f'• {rec}', styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 15)) |
|
|
story.append(Paragraph('<b>10.3 Immediate Next Steps</b>', styles['SubsectionHeader'])) |
|
|
|
|
|
next_steps = [ |
|
|
'1. Finalize Phase 1 scope and create detailed sprint plans', |
|
|
'2. Set up development infrastructure and CI/CD pipeline', |
|
|
'3. Begin REST API development (target: 4 weeks)', |
|
|
'4. Initiate security assessment and authentication design', |
|
|
'5. Start documentation and knowledge transfer activities', |
|
|
'6. Schedule bi-weekly stakeholder demos for continuous feedback', |
|
|
] |
|
|
|
|
|
for step in next_steps: |
|
|
story.append(Paragraph(step, styles['BulletText'])) |
|
|
|
|
|
story.append(Spacer(1, 30)) |
|
|
|
|
|
|
|
|
story.append(HRFlowable(width='100%', thickness=1, color=PRIMARY_BLUE)) |
|
|
story.append(Spacer(1, 15)) |
|
|
|
|
|
story.append(Paragraph( |
|
|
f'''<b>Document prepared by:</b> SPARKNET Development Team<br/> |
|
|
<b>Report Date:</b> {datetime.now().strftime('%B %d, %Y')}<br/> |
|
|
<b>Version:</b> 1.0<br/> |
|
|
<b>Classification:</b> Internal / Confidential''', |
|
|
styles['CustomBody'] |
|
|
)) |
|
|
|
|
|
story.append(Spacer(1, 20)) |
|
|
story.append(Paragraph( |
|
|
'<i>This document contains confidential information intended for stakeholder review. ' |
|
|
'Please do not distribute without authorization.</i>', |
|
|
styles['Caption'] |
|
|
)) |
|
|
|
|
|
|
|
|
doc.build(story) |
|
|
print(f"Report generated: {filename}") |
|
|
return filename |
|
|
|
|
|
|
|
|
if __name__ == '__main__': |
|
|
generate_report() |
|
|
|
