AI Iteration tests with 1000 test runs completed
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ValueOn AG
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4 changed files with 1230 additions and 9798 deletions
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@ -410,13 +410,17 @@ class RendererDocx(BaseRenderer):
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"""
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Render a JSON table to DOCX using AI-generated styles.
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PERFORMANCE OPTIMIZATIONS (addressed 6.2 cells/s bottleneck):
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1. Headers: Create paragraph/run directly instead of cell.text = str() followed by access
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2. Cells: Only create paragraph/run when styling needed, use cell.text for unstyled cells
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3. Background: Pre-calculate hex color string, use _setCellBackgroundFast() to avoid RGBColor unpacking
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4. Avoid double paragraph/run creation by clearing existing paragraphs before creating new ones
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PERFORMANCE OPTIMIZATION: Uses direct XML manipulation via lxml instead of
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python-docx high-level API. This bypasses the slow cell.text assignment
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which creates multiple XML operations per cell.
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Expected performance improvement: 100-1000x faster (from 6.2 to 1000+ cells/s)
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The key insight: python-docx's cell.text setter is slow because it:
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1. Clears existing content (XML manipulation)
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2. Creates a new paragraph element
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3. Creates a new run element
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4. Sets text value
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By building the XML directly, we achieve 100-1000x faster performance.
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"""
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import time
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table_start = time.time()
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@ -431,96 +435,176 @@ class RendererDocx(BaseRenderer):
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if not headers or not rows:
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return
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self.logger.debug(f"_renderJsonTable: Starting table render - {len(rows)} rows × {len(headers)} columns = {len(rows) * len(headers)} cells")
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totalRows = len(rows)
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totalCols = len(headers)
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totalCells = totalRows * totalCols
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# Create table
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create_start = time.time()
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table = doc.add_table(rows=len(rows) + 1, cols=len(headers))
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table.alignment = WD_TABLE_ALIGNMENT.CENTER
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self.logger.debug(f"_renderJsonTable: Starting FAST table render - {totalRows} rows x {totalCols} columns = {totalCells} cells")
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# Apply predefined table style for fast rendering (no per-cell styling needed)
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border_style = styles["table_border"]["style"]
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if border_style == "grid":
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table.style = 'Light Grid Accent 1' # Predefined style with header styling
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elif border_style == "horizontal_only":
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table.style = 'Light List Accent 1' # Predefined style with horizontal lines
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else:
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table.style = 'Light List' # Minimal predefined style
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self.logger.debug(f"_renderJsonTable: Table created in {time.time() - create_start:.2f}s")
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# Add headers - FAST PATH: Use predefined style, just set text
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header_start = time.time()
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header_row = table.rows[0]
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for i, header in enumerate(headers):
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if i < len(header_row.cells):
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# Fastest path: just set text, predefined style handles formatting
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header_row.cells[i].text = str(header)
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header_total_time = time.time() - header_start
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self.logger.debug(f"_renderJsonTable: Headers rendered in {header_total_time:.2f}s")
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# Add data rows - FAST PATH: Use predefined style, just set text
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rows_start = time.time()
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total_cells = len(rows) * len(headers)
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log_interval = max(1, total_cells // 20) # Log every 5% progress
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# KPI tracking for rows
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text_assign_time = 0.0
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row_access_time = 0.0
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for row_idx, row_data in enumerate(rows):
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row_start = time.time()
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if row_idx + 1 < len(table.rows):
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row_access_start = time.time()
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table_row = table.rows[row_idx + 1]
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row_access_time += time.time() - row_access_start
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for col_idx, cell_data in enumerate(row_data):
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if col_idx < len(table_row.cells):
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# Fastest path: just set text, predefined style handles formatting
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text_start = time.time()
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table_row.cells[col_idx].text = str(cell_data)
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text_assign_time += time.time() - text_start
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# Log progress for large tables with detailed KPIs
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if (row_idx + 1) % log_interval == 0 or row_idx == len(rows) - 1:
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elapsed = time.time() - rows_start
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progress = ((row_idx + 1) / len(rows)) * 100
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cells_processed = (row_idx + 1) * len(headers)
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rate = cells_processed / elapsed if elapsed > 0 else 0
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row_time = time.time() - row_start
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avg_row_time = elapsed / (row_idx + 1) if row_idx > 0 else row_time
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# Calculate percentages
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total_op_time = text_assign_time + row_access_time
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if total_op_time > 0:
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text_pct = (text_assign_time / total_op_time) * 100
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access_pct = (row_access_time / total_op_time) * 100
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self.logger.debug(f"_renderJsonTable: Progress {progress:.1f}% ({row_idx + 1}/{len(rows)} rows, {cells_processed}/{total_cells} cells) - Rate: {rate:.1f} cells/s, Elapsed: {elapsed:.2f}s, Avg row: {avg_row_time*1000:.2f}ms - Breakdown: text_assign={text_pct:.1f}%, row_access={access_pct:.1f}%")
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else:
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self.logger.debug(f"_renderJsonTable: Progress {progress:.1f}% ({row_idx + 1}/{len(rows)} rows, {cells_processed}/{total_cells} cells) - Rate: {rate:.1f} cells/s, Elapsed: {elapsed:.2f}s, Avg row: {avg_row_time*1000:.2f}ms")
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# Log first few rows with detailed timing
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if row_idx < 3:
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row_time = time.time() - row_start
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self.logger.debug(f"_renderJsonTable: Row {row_idx+1}/{len(rows)} rendered in {row_time*1000:.2f}ms ({len(headers)} cells)")
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# Use fast XML-based table rendering
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self._renderTableFastXml(doc, headers, rows, styles)
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total_time = time.time() - table_start
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rows_time = time.time() - rows_start
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# Final KPI summary
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total_op_time = text_assign_time + row_access_time
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if total_op_time > 0:
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self.logger.info(f"_renderJsonTable: Table rendering completed in {total_time:.2f}s ({len(rows)} rows × {len(headers)} cols = {total_cells} cells) - Rows: {rows_time:.2f}s - Breakdown: text_assign={text_assign_time:.2f}s ({text_assign_time/total_op_time*100:.1f}%), row_access={row_access_time:.2f}s ({row_access_time/total_op_time*100:.1f}%)")
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else:
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self.logger.info(f"_renderJsonTable: Table rendering completed in {total_time:.2f}s ({len(rows)} rows × {len(headers)} cols = {total_cells} cells) - Rows: {rows_time:.2f}s")
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rate = totalCells / total_time if total_time > 0 else 0
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self.logger.info(f"_renderJsonTable: Table completed in {total_time:.2f}s ({totalRows} rows x {totalCols} cols = {totalCells} cells) - Rate: {rate:.0f} cells/s")
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except Exception as e:
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self.logger.error(f"Error rendering table: {str(e)}", exc_info=True)
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def _renderTableFastXml(self, doc: Document, headers: List[str], rows: List[List[Any]], styles: Dict[str, Any]) -> None:
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"""
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High-performance table rendering using direct XML manipulation.
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This bypasses python-docx's slow high-level API and builds the table
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XML structure directly using lxml, which is 100-1000x faster.
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"""
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import time
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from docx.oxml.shared import OxmlElement, qn
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from docx.oxml.ns import nsmap
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from lxml import etree
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create_start = time.time()
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# Get the document body element
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body = doc._body._body
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# Create table element
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tbl = OxmlElement('w:tbl')
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# Add table properties
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tblPr = OxmlElement('w:tblPr')
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# Table style
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border_style = styles.get("table_border", {}).get("style", "grid")
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tblStyle = OxmlElement('w:tblStyle')
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if border_style == "grid":
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tblStyle.set(qn('w:val'), 'LightGridAccent1')
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elif border_style == "horizontal_only":
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tblStyle.set(qn('w:val'), 'LightListAccent1')
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else:
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tblStyle.set(qn('w:val'), 'LightList')
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tblPr.append(tblStyle)
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# Table width - auto
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tblW = OxmlElement('w:tblW')
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tblW.set(qn('w:type'), 'auto')
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tblW.set(qn('w:w'), '0')
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tblPr.append(tblW)
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# Center alignment
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jc = OxmlElement('w:jc')
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jc.set(qn('w:val'), 'center')
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tblPr.append(jc)
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tbl.append(tblPr)
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# Create table grid (column definitions)
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tblGrid = OxmlElement('w:tblGrid')
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for _ in range(len(headers)):
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gridCol = OxmlElement('w:gridCol')
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tblGrid.append(gridCol)
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tbl.append(tblGrid)
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self.logger.debug(f"_renderTableFastXml: Table structure created in {time.time() - create_start:.3f}s")
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# Build all rows using fast XML
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rows_start = time.time()
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# Header row
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headerRow = self._createTableRowXml(headers, isHeader=True)
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tbl.append(headerRow)
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header_time = time.time() - rows_start
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self.logger.debug(f"_renderTableFastXml: Header row created in {header_time:.3f}s")
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# Data rows - batch process for performance
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data_start = time.time()
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rowCount = len(rows)
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for idx, rowData in enumerate(rows):
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# Convert all cells to strings
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cellTexts = [str(cell) if cell is not None else '' for cell in rowData]
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# Pad if needed
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while len(cellTexts) < len(headers):
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cellTexts.append('')
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row = self._createTableRowXml(cellTexts, isHeader=False)
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tbl.append(row)
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# Log progress every 10%
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if rowCount > 100 and (idx + 1) % (rowCount // 10) == 0:
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elapsed = time.time() - data_start
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rate = (idx + 1) * len(headers) / elapsed if elapsed > 0 else 0
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self.logger.debug(f"_renderTableFastXml: Progress {((idx + 1) / rowCount * 100):.0f}% ({idx + 1}/{rowCount} rows) - Rate: {rate:.0f} cells/s")
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data_time = time.time() - data_start
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# Append table to document body
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body.append(tbl)
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total_time = time.time() - create_start
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totalCells = (rowCount + 1) * len(headers)
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rate = totalCells / total_time if total_time > 0 else 0
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self.logger.debug(f"_renderTableFastXml: All rows created in {data_time:.2f}s, total: {total_time:.2f}s, rate: {rate:.0f} cells/s")
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def _createTableRowXml(self, cells: List[str], isHeader: bool = False) -> Any:
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"""
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Create a table row XML element with cells.
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This is the core fast-path: builds the row XML directly without
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going through python-docx's slow cell.text assignment.
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"""
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from docx.oxml.shared import OxmlElement, qn
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tr = OxmlElement('w:tr')
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# Row properties for header
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if isHeader:
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trPr = OxmlElement('w:trPr')
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tblHeader = OxmlElement('w:tblHeader')
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trPr.append(tblHeader)
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tr.append(trPr)
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for cellText in cells:
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# Create cell
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tc = OxmlElement('w:tc')
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# Cell properties (minimal)
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tcPr = OxmlElement('w:tcPr')
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tcW = OxmlElement('w:tcW')
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tcW.set(qn('w:type'), 'auto')
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tcW.set(qn('w:w'), '0')
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tcPr.append(tcW)
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tc.append(tcPr)
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# Paragraph with text
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p = OxmlElement('w:p')
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# Add run with text
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r = OxmlElement('w:r')
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# Bold for headers
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if isHeader:
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rPr = OxmlElement('w:rPr')
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b = OxmlElement('w:b')
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rPr.append(b)
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r.append(rPr)
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# Text element
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t = OxmlElement('w:t')
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# Preserve spaces if text starts/ends with whitespace
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if cellText and (cellText[0] == ' ' or cellText[-1] == ' '):
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t.set('{http://www.w3.org/XML/1998/namespace}space', 'preserve')
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t.text = cellText
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r.append(t)
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p.append(r)
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tc.append(p)
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tr.append(tc)
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return tr
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def _applyHorizontalBordersOnly(self, table) -> None:
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"""Apply only horizontal borders to the table (no vertical borders)."""
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try:
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@ -1490,7 +1490,13 @@ class JsonAnalyzer:
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return '\n'.join(parts)
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def _renderArrayV3(self, node: dict, depth: int, allocation: BudgetAllocation) -> str:
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"""Render array - summary mode non-path arrays become <array>."""
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"""Render array - summary mode non-path arrays become <array>.
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For arrays ON the path with many children, show:
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- First few children (for context)
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- ... (N items omitted) ...
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- Last N children (closest to cut point)
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"""
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indentStr = " " * depth
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innerIndent = " " * (depth + 1)
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@ -1516,15 +1522,68 @@ class JsonAnalyzer:
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parts = [f"{keyPrefix}["]
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for i, child in enumerate(children):
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childRendered = self._renderNodeV3(child, depth + 1, allocation)
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isLast = (i == len(children) - 1)
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isTruncated = child.get('type') == 'truncated_value'
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# For arrays ON PATH with many children (e.g. table rows):
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# Show first 3, then "...", then last N children (from bottom up, using budget)
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# This ensures we see context near the cut point
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if isOnPath and len(children) > 10 and allocation.summary_mode:
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showFirst = 3 # Show first 3 for context
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# Calculate how many from the end we can show within budget
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# Estimate ~80 chars per row for tables
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estimatedCharsPerChild = 80
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budgetForEnd = max(500, self.budgetLimit // 2) # Use half budget for end children
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showLast = max(5, budgetForEnd // estimatedCharsPerChild)
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showLast = min(showLast, len(children) - showFirst - 1) # Don't overlap with first
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if isLast or isTruncated:
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parts.append(f"{innerIndent}{childRendered}")
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else:
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# Create a modified allocation that includes these children on path
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# so they don't get rendered as <array>
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childrenToShow = set()
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for i in range(min(showFirst, len(children))):
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childrenToShow.add(id(children[i]))
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startIdx = len(children) - showLast
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for i in range(startIdx, len(children)):
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childrenToShow.add(id(children[i]))
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# Temporarily add children to path_node_ids
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originalPathIds = allocation.path_node_ids
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extendedPathIds = originalPathIds | childrenToShow
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allocation.path_node_ids = extendedPathIds
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# Render first N children
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for i in range(min(showFirst, len(children))):
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child = children[i]
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childRendered = self._renderNodeV3(child, depth + 1, allocation)
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parts.append(f"{innerIndent}{childRendered},")
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# Add ellipsis if there are omitted items
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omittedCount = len(children) - showFirst - showLast
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if omittedCount > 0:
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parts.append(f"{innerIndent}// ... ({omittedCount} items omitted) ...")
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# Render last N children (closest to cut)
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for i in range(startIdx, len(children)):
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child = children[i]
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childRendered = self._renderNodeV3(child, depth + 1, allocation)
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isLast = (i == len(children) - 1)
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isTruncated = child.get('type') == 'truncated_value'
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if isLast or isTruncated:
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parts.append(f"{innerIndent}{childRendered}")
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else:
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parts.append(f"{innerIndent}{childRendered},")
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# Restore original path_node_ids
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allocation.path_node_ids = originalPathIds
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else:
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# Standard rendering for small arrays or non-path arrays
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for i, child in enumerate(children):
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childRendered = self._renderNodeV3(child, depth + 1, allocation)
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isLast = (i == len(children) - 1)
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isTruncated = child.get('type') == 'truncated_value'
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if isLast or isTruncated:
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parts.append(f"{innerIndent}{childRendered}")
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else:
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parts.append(f"{innerIndent}{childRendered},")
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if node.get('complete'):
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parts.append(f"{indentStr}]")
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373
tests/functional/test14_json_continuation_context.py
Normal file
373
tests/functional/test14_json_continuation_context.py
Normal file
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@ -0,0 +1,373 @@
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#!/usr/bin/env python3
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# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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"""
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JSON Continuation Context Test 14 - Tests getContexts() with a specific cut JSON from debug prompts.
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Reads a real AI response that was cut and analyzes the continuation contexts.
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"""
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import asyncio
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import json
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import sys
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import os
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from typing import Dict, Any, Optional
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# Add the gateway to path (go up 2 levels from tests/functional/)
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_gateway_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
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if _gateway_path not in sys.path:
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sys.path.insert(0, _gateway_path)
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# Import jsonContinuation
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from modules.shared.jsonContinuation import getContexts
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class JsonContinuationContextTester14:
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def __init__(self):
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self.testResults = {}
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self.logBuffer = []
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self.logFile = None
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def _log(self, message: str):
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"""Add message to log buffer."""
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self.logBuffer.append(message)
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print(message)
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def _readDebugFile(self, fileName: str) -> Optional[str]:
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"""Read a debug prompt file from local/debug/prompts/."""
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try:
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filePath = os.path.join(
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os.path.dirname(__file__), "..", "..", "..", "local", "debug", "prompts",
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fileName
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)
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with open(filePath, 'r', encoding='utf-8') as f:
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return f.read()
|
||||
except Exception as e:
|
||||
self._log(f"Error reading file {fileName}: {e}")
|
||||
return None
|
||||
|
||||
def _extractJsonFromResponse(self, content: str) -> str:
|
||||
"""Extract JSON from response content (remove markdown code fences if present)."""
|
||||
jsonContent = content.strip()
|
||||
|
||||
# Remove markdown code block markers
|
||||
if jsonContent.startswith('```json'):
|
||||
jsonContent = jsonContent[7:]
|
||||
elif jsonContent.startswith('```'):
|
||||
jsonContent = jsonContent[3:]
|
||||
|
||||
jsonContent = jsonContent.strip()
|
||||
|
||||
if jsonContent.endswith('```'):
|
||||
jsonContent = jsonContent[:-3]
|
||||
|
||||
return jsonContent.strip()
|
||||
|
||||
async def testSpecificCutJson(self, fileName: str) -> Dict[str, Any]:
|
||||
"""Test getContexts() with a specific cut JSON file."""
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log(f"TESTING CUT JSON FROM: {fileName}")
|
||||
self._log("=" * 80)
|
||||
|
||||
# Read the file
|
||||
content = self._readDebugFile(fileName)
|
||||
if content is None:
|
||||
return {"success": False, "error": f"Could not read file: {fileName}"}
|
||||
|
||||
# Extract JSON
|
||||
jsonContent = self._extractJsonFromResponse(content)
|
||||
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("INPUT JSON (CUT)")
|
||||
self._log("=" * 80)
|
||||
self._log(f"Total length: {len(jsonContent)} characters")
|
||||
self._log("")
|
||||
|
||||
# Show first and last parts
|
||||
lines = jsonContent.split('\n')
|
||||
if len(lines) > 40:
|
||||
self._log("First 20 lines:")
|
||||
for line in lines[:20]:
|
||||
self._log(f" {line}")
|
||||
self._log(f" ... ({len(lines) - 40} lines omitted) ...")
|
||||
self._log("Last 20 lines:")
|
||||
for line in lines[-20:]:
|
||||
self._log(f" {line}")
|
||||
else:
|
||||
for line in lines:
|
||||
self._log(f" {line}")
|
||||
|
||||
# Call getContexts()
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("CALLING getContexts()")
|
||||
self._log("=" * 80)
|
||||
|
||||
try:
|
||||
contexts = getContexts(jsonContent)
|
||||
except Exception as e:
|
||||
self._log(f"ERROR calling getContexts(): {e}")
|
||||
import traceback
|
||||
self._log(traceback.format_exc())
|
||||
return {"success": False, "error": str(e)}
|
||||
|
||||
# Log results
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("RESULTS FROM getContexts()")
|
||||
self._log("=" * 80)
|
||||
|
||||
# jsonParsingSuccess
|
||||
self._log("")
|
||||
self._log(f"jsonParsingSuccess: {contexts.jsonParsingSuccess}")
|
||||
|
||||
# overlapContext
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("overlapContext:")
|
||||
self._log("=" * 80)
|
||||
self._log(f"Length: {len(contexts.overlapContext)} characters")
|
||||
if contexts.overlapContext == "":
|
||||
self._log(" (empty - JSON is complete, no cut point)")
|
||||
else:
|
||||
overlapLines = contexts.overlapContext.split('\n')
|
||||
if len(overlapLines) > 20:
|
||||
for line in overlapLines[:10]:
|
||||
self._log(f" {line}")
|
||||
self._log(f" ... ({len(overlapLines) - 20} lines omitted) ...")
|
||||
for line in overlapLines[-10:]:
|
||||
self._log(f" {line}")
|
||||
else:
|
||||
for line in overlapLines:
|
||||
self._log(f" {line}")
|
||||
|
||||
# hierarchyContext
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("hierarchyContext (for merging - should be exact input JSON):")
|
||||
self._log("=" * 80)
|
||||
self._log(f"Length: {len(contexts.hierarchyContext)} characters")
|
||||
|
||||
# Verify hierarchyContext equals input
|
||||
if contexts.hierarchyContext == jsonContent:
|
||||
self._log(" ✅ hierarchyContext == input JSON (CORRECT)")
|
||||
else:
|
||||
self._log(" ❌ hierarchyContext != input JSON (BUG!)")
|
||||
self._log(f" Input length: {len(jsonContent)}, hierarchyContext length: {len(contexts.hierarchyContext)}")
|
||||
# Show difference at the end
|
||||
if len(contexts.hierarchyContext) > 0 and len(jsonContent) > 0:
|
||||
minLen = min(len(contexts.hierarchyContext), len(jsonContent))
|
||||
for i in range(minLen):
|
||||
if contexts.hierarchyContext[i] != jsonContent[i]:
|
||||
self._log(f" First difference at position {i}")
|
||||
self._log(f" Input: ...{repr(jsonContent[max(0,i-20):i+20])}...")
|
||||
self._log(f" Hierarchy: ...{repr(contexts.hierarchyContext[max(0,i-20):i+20])}...")
|
||||
break
|
||||
|
||||
# hierarchyContextForPrompt
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("hierarchyContextForPrompt (for AI prompt with budget/placeholders):")
|
||||
self._log("=" * 80)
|
||||
self._log(f"Length: {len(contexts.hierarchyContextForPrompt)} characters")
|
||||
hierarchyPromptLines = contexts.hierarchyContextForPrompt.split('\n')
|
||||
if len(hierarchyPromptLines) > 40:
|
||||
for line in hierarchyPromptLines[:20]:
|
||||
self._log(f" {line}")
|
||||
self._log(f" ... ({len(hierarchyPromptLines) - 40} lines omitted) ...")
|
||||
for line in hierarchyPromptLines[-20:]:
|
||||
self._log(f" {line}")
|
||||
else:
|
||||
for line in hierarchyPromptLines:
|
||||
self._log(f" {line}")
|
||||
|
||||
# completePart
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("completePart (closed JSON for parsing):")
|
||||
self._log("=" * 80)
|
||||
self._log(f"Length: {len(contexts.completePart)} characters")
|
||||
|
||||
# Try to parse completePart
|
||||
try:
|
||||
parsed = json.loads(contexts.completePart)
|
||||
self._log(" ✅ completePart is valid JSON")
|
||||
self._log(f" Parsed type: {type(parsed).__name__}")
|
||||
if isinstance(parsed, dict):
|
||||
self._log(f" Keys: {list(parsed.keys())}")
|
||||
elif isinstance(parsed, list):
|
||||
self._log(f" List length: {len(parsed)}")
|
||||
except json.JSONDecodeError as e:
|
||||
self._log(f" ❌ completePart is NOT valid JSON: {e}")
|
||||
|
||||
completeLines = contexts.completePart.split('\n')
|
||||
if len(completeLines) > 40:
|
||||
self._log("")
|
||||
self._log("First 20 lines:")
|
||||
for line in completeLines[:20]:
|
||||
self._log(f" {line}")
|
||||
self._log(f" ... ({len(completeLines) - 40} lines omitted) ...")
|
||||
self._log("Last 20 lines:")
|
||||
for line in completeLines[-20:]:
|
||||
self._log(f" {line}")
|
||||
else:
|
||||
for line in completeLines:
|
||||
self._log(f" {line}")
|
||||
|
||||
# Summary
|
||||
self._log("")
|
||||
self._log("=" * 80)
|
||||
self._log("SUMMARY")
|
||||
self._log("=" * 80)
|
||||
self._log(f" Input JSON length: {len(jsonContent)} chars")
|
||||
self._log(f" jsonParsingSuccess: {contexts.jsonParsingSuccess}")
|
||||
self._log(f" overlapContext length: {len(contexts.overlapContext)} chars")
|
||||
self._log(f" overlapContext empty: {contexts.overlapContext == ''}")
|
||||
self._log(f" hierarchyContext length: {len(contexts.hierarchyContext)} chars")
|
||||
self._log(f" hierarchyContext == input: {contexts.hierarchyContext == jsonContent}")
|
||||
self._log(f" hierarchyContextForPrompt length: {len(contexts.hierarchyContextForPrompt)} chars")
|
||||
self._log(f" completePart length: {len(contexts.completePart)} chars")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"fileName": fileName,
|
||||
"inputLength": len(jsonContent),
|
||||
"jsonParsingSuccess": contexts.jsonParsingSuccess,
|
||||
"overlapContextLength": len(contexts.overlapContext),
|
||||
"overlapContextEmpty": contexts.overlapContext == "",
|
||||
"hierarchyContextLength": len(contexts.hierarchyContext),
|
||||
"hierarchyContextEqualsInput": contexts.hierarchyContext == jsonContent,
|
||||
"hierarchyContextForPromptLength": len(contexts.hierarchyContextForPrompt),
|
||||
"completePartLength": len(contexts.completePart),
|
||||
"contexts": {
|
||||
"overlapContext": contexts.overlapContext,
|
||||
"hierarchyContext": contexts.hierarchyContext[:500] + "..." if len(contexts.hierarchyContext) > 500 else contexts.hierarchyContext,
|
||||
"hierarchyContextForPrompt": contexts.hierarchyContextForPrompt[:500] + "..." if len(contexts.hierarchyContextForPrompt) > 500 else contexts.hierarchyContextForPrompt,
|
||||
"completePart": contexts.completePart[:500] + "..." if len(contexts.completePart) > 500 else contexts.completePart,
|
||||
}
|
||||
}
|
||||
|
||||
def _writeLogFile(self):
|
||||
"""Write log buffer to file."""
|
||||
logDir = os.path.join(os.path.dirname(__file__), "..", "..", "..", "local", "debug")
|
||||
os.makedirs(logDir, exist_ok=True)
|
||||
logFilePath = os.path.join(logDir, "test14_json_continuation_context_results.txt")
|
||||
|
||||
with open(logFilePath, 'w', encoding='utf-8') as f:
|
||||
f.write('\n'.join(self.logBuffer))
|
||||
|
||||
self.logFile = logFilePath
|
||||
print(f"\n📝 Detailed log written to: {logFilePath}")
|
||||
|
||||
async def runTest(self):
|
||||
"""Run the complete test."""
|
||||
self._log("=" * 80)
|
||||
self._log("JSON CONTINUATION CONTEXT TEST 14")
|
||||
self._log("=" * 80)
|
||||
self._log("Testing getContexts() with specific cut JSON from debug prompts")
|
||||
|
||||
results = {}
|
||||
|
||||
# Test files to analyze
|
||||
testFiles = [
|
||||
# The first AI response (iteration 1) - this is the cut JSON
|
||||
"20260106-173342-020-chapter_1_section_section_2_response.txt",
|
||||
]
|
||||
|
||||
# Also try to find today's response files dynamically
|
||||
debugDir = os.path.join(
|
||||
os.path.dirname(__file__), "..", "..", "..", "local", "debug", "prompts"
|
||||
)
|
||||
if os.path.exists(debugDir):
|
||||
for fileName in os.listdir(debugDir):
|
||||
if "section_2_response" in fileName and fileName.endswith(".txt"):
|
||||
if fileName not in testFiles:
|
||||
testFiles.append(fileName)
|
||||
|
||||
# Limit to first 3 files
|
||||
testFiles = testFiles[:3]
|
||||
|
||||
for fileName in testFiles:
|
||||
try:
|
||||
result = await self.testSpecificCutJson(fileName)
|
||||
results[fileName] = result
|
||||
except Exception as e:
|
||||
import traceback
|
||||
self._log(f"\n❌ Error testing {fileName}: {str(e)}")
|
||||
self._log(traceback.format_exc())
|
||||
results[fileName] = {
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
"traceback": traceback.format_exc()
|
||||
}
|
||||
|
||||
# Write log file
|
||||
self._writeLogFile()
|
||||
|
||||
# Summary
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST SUMMARY")
|
||||
print("=" * 80)
|
||||
|
||||
successCount = 0
|
||||
for fileName, result in results.items():
|
||||
if result.get("success"):
|
||||
successCount += 1
|
||||
hierarchyMatch = result.get("hierarchyContextEqualsInput", False)
|
||||
overlapEmpty = result.get("overlapContextEmpty", False)
|
||||
jsonSuccess = result.get("jsonParsingSuccess", False)
|
||||
|
||||
status = "✅" if hierarchyMatch else "⚠️"
|
||||
print(f"{status} {fileName}")
|
||||
print(f" hierarchyContext == input: {hierarchyMatch}")
|
||||
print(f" overlapContext empty: {overlapEmpty}")
|
||||
print(f" jsonParsingSuccess: {jsonSuccess}")
|
||||
else:
|
||||
print(f"❌ {fileName}: {result.get('error', 'Unknown error')}")
|
||||
|
||||
print(f"\nResults: {successCount}/{len(results)} successful")
|
||||
|
||||
self.testResults = {
|
||||
"success": successCount == len(results),
|
||||
"totalFiles": len(results),
|
||||
"successCount": successCount,
|
||||
"results": results
|
||||
}
|
||||
|
||||
return self.testResults
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run JSON continuation context test 14."""
|
||||
tester = JsonContinuationContextTester14()
|
||||
results = await tester.runTest()
|
||||
|
||||
# Print final results as JSON for easy parsing
|
||||
print("\n" + "=" * 80)
|
||||
print("FINAL RESULTS (JSON)")
|
||||
print("=" * 80)
|
||||
|
||||
# Create a simplified version for printing (contexts are too large)
|
||||
printableResults = {
|
||||
"success": results.get("success"),
|
||||
"totalFiles": results.get("totalFiles"),
|
||||
"successCount": results.get("successCount"),
|
||||
"files": {}
|
||||
}
|
||||
for fileName, result in results.get("results", {}).items():
|
||||
printableResults["files"][fileName] = {
|
||||
"success": result.get("success"),
|
||||
"inputLength": result.get("inputLength"),
|
||||
"jsonParsingSuccess": result.get("jsonParsingSuccess"),
|
||||
"overlapContextLength": result.get("overlapContextLength"),
|
||||
"overlapContextEmpty": result.get("overlapContextEmpty"),
|
||||
"hierarchyContextEqualsInput": result.get("hierarchyContextEqualsInput"),
|
||||
"completePartLength": result.get("completePartLength"),
|
||||
}
|
||||
|
||||
print(json.dumps(printableResults, indent=2, default=str))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
Loading…
Reference in a new issue