fix: revert native excel parsing

This commit is contained in:
Anish Sarkar 2026-03-27 22:15:24 +05:30
parent dff8a1df37
commit 489e48644f
6 changed files with 0 additions and 289 deletions

View file

@ -14,8 +14,6 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.db import Log from app.db import Log
from app.services.task_logging_service import TaskLoggingService from app.services.task_logging_service import TaskLoggingService
from app.utils.office_parsers import EXCEL_EXTENSIONS
from .client import GoogleDriveClient from .client import GoogleDriveClient
from .file_types import ( from .file_types import (
get_export_mime_type, get_export_mime_type,
@ -150,11 +148,6 @@ async def _parse_file_to_markdown(file_path: str, filename: str) -> str:
raise ValueError("Transcription returned empty text") raise ValueError("Transcription returned empty text")
return f"# Transcription of {filename}\n\n{text}" return f"# Transcription of {filename}\n\n{text}"
if lower.endswith(EXCEL_EXTENSIONS):
from app.utils.office_parsers import parse_excel_to_markdown
return await parse_excel_to_markdown(file_path, filename)
# Document files -- use configured ETL service # Document files -- use configured ETL service
from app.config import config as app_config from app.config import config as app_config

View file

@ -1134,59 +1134,6 @@ async def process_file_in_background(
) )
return None return None
elif filename.lower().endswith((".xlsx",)):
from app.utils.office_parsers import parse_excel_to_markdown
if notification:
await (
NotificationService.document_processing.notify_processing_progress(
session,
notification,
stage="parsing",
stage_message="Parsing spreadsheet",
)
)
await task_logger.log_task_progress(
log_entry,
f"Processing Excel file natively: {filename}",
{"file_type": "excel", "processing_stage": "native_parse"},
)
excel_markdown = await parse_excel_to_markdown(file_path, filename)
try:
os.unlink(file_path)
except Exception as e:
print("Error deleting temp file", e)
result = await add_received_markdown_file_document(
session, filename, excel_markdown, search_space_id, user_id, connector
)
if connector:
await _update_document_from_connector(result, connector, session)
if result:
await task_logger.log_task_success(
log_entry,
f"Successfully parsed and processed Excel file: {filename}",
{
"document_id": result.id,
"content_hash": result.content_hash,
"file_type": "excel",
"etl_service": "NATIVE_EXCEL",
},
)
return result
else:
await task_logger.log_task_success(
log_entry,
f"Excel file already exists (duplicate): {filename}",
{"duplicate_detected": True, "file_type": "excel"},
)
return None
else: else:
# Import page limit service # Import page limit service
from app.services.page_limit_service import ( from app.services.page_limit_service import (
@ -1850,31 +1797,6 @@ async def process_file_in_background_with_document(
with contextlib.suppress(Exception): with contextlib.suppress(Exception):
os.unlink(file_path) os.unlink(file_path)
elif filename.lower().endswith((".xlsx",)):
from app.utils.office_parsers import parse_excel_to_markdown
if notification:
await (
NotificationService.document_processing.notify_processing_progress(
session,
notification,
stage="parsing",
stage_message="Parsing spreadsheet",
)
)
await task_logger.log_task_progress(
log_entry,
f"Processing Excel file natively: {filename}",
{"file_type": "excel", "processing_stage": "native_parse"},
)
markdown_content = await parse_excel_to_markdown(file_path, filename)
etl_service = "NATIVE_EXCEL"
with contextlib.suppress(Exception):
os.unlink(file_path)
else: else:
# Document files - use ETL service # Document files - use ETL service
from app.services.page_limit_service import ( from app.services.page_limit_service import (

View file

@ -1,72 +0,0 @@
"""Native parsers for Office file formats."""
import asyncio
import logging
import threading
import time
from pathlib import Path
logger = logging.getLogger(__name__)
EXCEL_EXTENSIONS = (".xlsx",)
def _parse_excel_sync(file_path: str) -> str:
"""Parse an .xlsx file into markdown tables (synchronous)."""
from openpyxl import load_workbook
wb = load_workbook(file_path, read_only=True, data_only=True)
markdown_parts: list[str] = []
for sheet_name in wb.sheetnames:
ws = wb[sheet_name]
rows = list(ws.iter_rows(values_only=True))
non_empty_rows = [r for r in rows if any(c is not None for c in r)]
if not non_empty_rows:
continue
markdown_parts.append(f"## {sheet_name}\n")
max_cols = max(len(row) for row in non_empty_rows)
header = non_empty_rows[0]
hdr = [str(c if c is not None else "") for c in header]
hdr.extend([""] * (max_cols - len(hdr)))
markdown_parts.append("| " + " | ".join(hdr) + " |")
markdown_parts.append("| " + " | ".join("---" for _ in range(max_cols)) + " |")
for row in non_empty_rows[1:]:
cells = [str(c if c is not None else "") for c in row]
cells.extend([""] * (max_cols - len(cells)))
markdown_parts.append("| " + " | ".join(cells) + " |")
markdown_parts.append("")
wb.close()
return "\n".join(markdown_parts)
async def parse_excel_to_markdown(file_path: str, filename: str = "") -> str:
"""Parse an .xlsx file into markdown tables (async wrapper).
Raises ``ValueError`` if no data is found in the workbook.
"""
t0 = time.monotonic()
logger.info(
"[excel-parse] START file=%s thread=%s",
filename,
threading.current_thread().name,
)
result = await asyncio.to_thread(_parse_excel_sync, file_path)
logger.info(
"[excel-parse] END file=%s elapsed=%.2fs",
filename,
time.monotonic() - t0,
)
if not result.strip():
raise ValueError(f"No data found in Excel file: {filename or file_path}")
title = f"# {filename}\n\n" if filename else ""
return title + result

View file

@ -73,7 +73,6 @@ dependencies = [
"langchain-daytona>=0.0.2", "langchain-daytona>=0.0.2",
"pypandoc>=1.16.2", "pypandoc>=1.16.2",
"notion-markdown>=0.7.0", "notion-markdown>=0.7.0",
"openpyxl>=3.1.5",
] ]
[dependency-groups] [dependency-groups]

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@ -1,129 +0,0 @@
"""Unit tests for native Office file parsers (no DB, no external services)."""
import tempfile
import pytest
from openpyxl import Workbook
pytestmark = pytest.mark.unit
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _create_xlsx(sheets: dict[str, list[list]]) -> str:
"""Create a real .xlsx file on disk and return its path.
``sheets`` maps sheet name -> list of rows, where each row is a list of
cell values.
"""
wb = Workbook()
first = True
for name, rows in sheets.items():
ws = wb.active if first else wb.create_sheet(title=name)
if first:
ws.title = name
first = False
for row in rows:
ws.append(row)
tmp = tempfile.NamedTemporaryFile(suffix=".xlsx", delete=False)
wb.save(tmp.name)
wb.close()
tmp.close()
return tmp.name
# ---------------------------------------------------------------------------
# Tracer bullet: cell values appear in markdown
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_parse_excel_produces_markdown_with_cell_values():
"""A single-sheet .xlsx with known data produces markdown containing those values."""
from app.utils.office_parsers import parse_excel_to_markdown
path = _create_xlsx(
{"Sales": [["Product", "Revenue"], ["Widget", 1500], ["Gadget", 3200]]}
)
md = await parse_excel_to_markdown(path, filename="report.xlsx")
assert "Product" in md
assert "Revenue" in md
assert "Widget" in md
assert "1500" in md
assert "Gadget" in md
assert "3200" in md
assert "report.xlsx" in md
assert "|" in md
# ---------------------------------------------------------------------------
# Multi-sheet workbooks include all sheets
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_parse_excel_includes_all_sheets():
"""Both sheet names and their data appear in the output."""
from app.utils.office_parsers import parse_excel_to_markdown
path = _create_xlsx(
{
"Inventory": [["Item", "Qty"], ["Bolts", 200]],
"Pricing": [["Item", "Price"], ["Bolts", 4.50]],
}
)
md = await parse_excel_to_markdown(path, filename="multi.xlsx")
assert "Inventory" in md
assert "Pricing" in md
assert "Bolts" in md
assert "200" in md
assert "4.5" in md
# ---------------------------------------------------------------------------
# Empty spreadsheet raises ValueError
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_parse_excel_raises_on_empty_file():
"""An .xlsx with no data raises ValueError."""
from app.utils.office_parsers import parse_excel_to_markdown
wb = Workbook()
tmp = tempfile.NamedTemporaryFile(suffix=".xlsx", delete=False)
wb.save(tmp.name)
wb.close()
tmp.close()
with pytest.raises(ValueError, match="No data found"):
await parse_excel_to_markdown(tmp.name, filename="empty.xlsx")
# ---------------------------------------------------------------------------
# _parse_file_to_markdown routes .xlsx natively (no ETL call)
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_parse_file_to_markdown_routes_xlsx_natively():
"""content_extractor._parse_file_to_markdown uses native parser for .xlsx."""
from app.connectors.google_drive.content_extractor import _parse_file_to_markdown
path = _create_xlsx(
{"Data": [["Name", "Score"], ["Alice", 95], ["Bob", 82]]}
)
md = await _parse_file_to_markdown(path, "grades.xlsx")
assert "Alice" in md
assert "95" in md
assert "Bob" in md
assert "82" in md

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@ -7919,7 +7919,6 @@ dependencies = [
{ name = "notion-client" }, { name = "notion-client" },
{ name = "notion-markdown" }, { name = "notion-markdown" },
{ name = "numpy" }, { name = "numpy" },
{ name = "openpyxl" },
{ name = "pgvector" }, { name = "pgvector" },
{ name = "playwright" }, { name = "playwright" },
{ name = "psycopg", extra = ["binary", "pool"] }, { name = "psycopg", extra = ["binary", "pool"] },
@ -8002,7 +8001,6 @@ requires-dist = [
{ name = "notion-client", specifier = ">=2.3.0" }, { name = "notion-client", specifier = ">=2.3.0" },
{ name = "notion-markdown", specifier = ">=0.7.0" }, { name = "notion-markdown", specifier = ">=0.7.0" },
{ name = "numpy", specifier = ">=1.24.0" }, { name = "numpy", specifier = ">=1.24.0" },
{ name = "openpyxl", specifier = ">=3.1.5" },
{ name = "pgvector", specifier = ">=0.3.6" }, { name = "pgvector", specifier = ">=0.3.6" },
{ name = "playwright", specifier = ">=1.50.0" }, { name = "playwright", specifier = ">=1.50.0" },
{ name = "psycopg", extras = ["binary", "pool"], specifier = ">=3.3.2" }, { name = "psycopg", extras = ["binary", "pool"], specifier = ">=3.3.2" },