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Copy pathtest_chain_of_spreadsheet.py
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323 lines (263 loc) · 12 KB
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import os
import tempfile
import unittest
import warnings
from unittest.mock import patch
import openpyxl
import chain_of_spreadsheet as cos
import paper_serializers
from llm_backend import EchoBackend
class TestChainOfSpreadsheet(unittest.TestCase):
def setUp(self):
# Reset module-level state so tests are isolated.
cos._BACKEND = None
cos._STAGE2_LEGACY_WARNED = False
self.sample_encoding = {
"sheets": {
"Sheet1": {
"cells": {
"Header1": ["A1"],
"Value1": ["A2"],
}
}
}
}
self.sample_query = "What is the value?"
# ------------------------------------------------------------------
# Stage 1: identify_table
# ------------------------------------------------------------------
@patch('chain_of_spreadsheet._call_llm')
def test_identify_table(self, mock_call_llm):
mock_call_llm.return_value = "['range': 'A1:B2']"
table_range = cos.identify_table(self.sample_encoding, self.sample_query)
# LLM must have been called exactly once.
mock_call_llm.assert_called_once()
prompt_arg = mock_call_llm.call_args[0][0]
# Query is in the prompt.
self.assertIn(self.sample_query, prompt_arg)
# Stage-1 now uses paper-compressed tuples, NOT raw JSON.
# The setUp encoding has no coord_map so addresses stay original.
self.assertIn("(Header1|A1)", prompt_arg)
# Response was parsed into the range correctly.
self.assertEqual(table_range, "A1:B2")
@patch('chain_of_spreadsheet._call_llm')
def test_identify_tables_returns_multiple_ranges(self, mock_call_llm):
mock_call_llm.return_value = (
"[{'range': 'A1:B2'}, {'range': 'D4:E9'}, {'range': 'A1:B2'}]"
)
ranges = cos.identify_tables(self.sample_encoding, self.sample_query)
self.assertEqual(ranges, ["A1:B2", "D4:E9"])
# ------------------------------------------------------------------
# Stage 2: generate_response
# ------------------------------------------------------------------
@patch('chain_of_spreadsheet._call_llm')
def test_generate_response(self, mock_call_llm):
mock_call_llm.return_value = "[C5]"
sheet_data = self.sample_encoding["sheets"]["Sheet1"]
response = cos.generate_response(sheet_data, self.sample_query)
mock_call_llm.assert_called_once()
prompt_arg = mock_call_llm.call_args[0][0]
self.assertIn(self.sample_query, prompt_arg)
self.assertEqual(response, "[C5]")
def test_build_stage2_prompt_payload_reports_fallback_mode(self):
sheet_data = self.sample_encoding["sheets"]["Sheet1"]
payload = cos.build_stage2_prompt_payload(sheet_data, self.sample_query)
self.assertEqual(payload["stage2_mode"], "compressed_json_fallback")
self.assertIsNone(payload["original_range"])
self.assertIn(self.sample_query, payload["prompt"])
def test_build_stage2_prompt_payload_reports_uncompressed_mode(self):
tmp_dir = tempfile.mkdtemp()
tmp_xlsx = os.path.join(tmp_dir, "stage2.xlsx")
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Sheet"
ws["A1"] = "Header"
ws["A2"] = "Value"
wb.save(tmp_xlsx)
try:
payload = cos.build_stage2_prompt_payload(
{"coord_map": paper_serializers.build_coord_map([1, 2], [1])},
self.sample_query,
workbook_path=tmp_xlsx,
sheet_name="Sheet",
table_range="A1:A2",
)
finally:
os.remove(tmp_xlsx)
os.rmdir(tmp_dir)
self.assertEqual(payload["stage2_mode"], "original_workbook_uncompressed")
self.assertEqual(payload["original_range"], "A1:A2")
self.assertIn("A1,Header|A2,Value", payload["prompt_input"])
# ------------------------------------------------------------------
# table_split_qa — legacy path (no workbook_path)
# ------------------------------------------------------------------
@patch('chain_of_spreadsheet.generate_response')
def test_table_split_qa_small_table(self, mock_generate_response):
mock_generate_response.return_value = "Direct answer"
response = cos.table_split_qa(
self.sample_encoding["sheets"]["Sheet1"],
"A1:A2",
self.sample_query,
)
# No workbook_path → legacy path → single generate_response call.
mock_generate_response.assert_called_once()
self.assertEqual(response, "Direct answer")
def test_find_relevant_sheet_uses_backend_before_keyword_fallback(self):
encoding = {
"sheets": {
"Sales": {"cells": {"revenue": ["A1"]}},
"Costs": {"cells": {"revenue": ["A1"], "cost": ["B1"]}},
}
}
backend = EchoBackend(response="Sales")
cos.configure_backend(backend)
try:
selected = cos.find_relevant_sheet(encoding, "cost")
finally:
cos.configure_backend(None)
self.assertEqual(selected, "Sales")
self.assertEqual(len(backend.calls), 1)
def test_find_relevant_sheet_keyword_fallback_without_backend(self):
encoding = {
"sheets": {
"Sales": {"cells": {"revenue": ["A1"]}},
"Costs": {"cells": {"cost": ["A1"]}},
}
}
selected = cos.find_relevant_sheet(encoding, "cost")
self.assertEqual(selected, "Costs")
def test_table_split_qa_large_table_no_workbook_warns_and_calls_once(self):
"""Without workbook_path, table_split_qa warns and calls generate_response once."""
large_encoding = {"cells": {"a" * 5000: ["A1"]}}
with patch('chain_of_spreadsheet.generate_response') as mock_gr:
mock_gr.return_value = "Sub-answer"
with self.assertLogs('chain_of_spreadsheet', level='WARNING') as cm:
response = cos.table_split_qa(
large_encoding, "A1:Z100", self.sample_query
)
# Called exactly once — no chunking without a workbook.
mock_gr.assert_called_once()
self.assertEqual(response, "Sub-answer")
# A deprecation warning must have been emitted in the logs.
self.assertTrue(
any("deprecated" in line.lower() or "legacy" in line.lower() for line in cm.output),
msg=f"Expected a deprecation/legacy warning; got: {cm.output}",
)
# ------------------------------------------------------------------
# table_split_qa — real chunking path
# ------------------------------------------------------------------
def test_table_split_qa_real_chunking(self):
"""With workbook_path+sheet_name, real row-chunking is applied."""
# Build a temp workbook: 30 rows × 4 cols of small numeric data.
tmp_dir = tempfile.mkdtemp()
tmp_xlsx = os.path.join(tmp_dir, "test_chunk.xlsx")
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Sheet"
for r in range(1, 31):
for c in range(1, 5):
ws.cell(row=r, column=c, value=r * 10 + c)
wb.save(tmp_xlsx)
# Identity-style coord_map: rows 1-30, cols 1-4 map to themselves.
coord_map = paper_serializers.build_coord_map(range(1, 31), range(1, 5))
# EchoBackend records every call.
backend = EchoBackend(response="X")
cos.configure_backend(backend)
try:
result = cos.table_split_qa(
sheet_data={"coord_map": coord_map},
table_range="A1:D30",
query="Q",
workbook_path=tmp_xlsx,
sheet_name="Sheet",
coord_map=coord_map,
token_limit=200,
)
finally:
cos.configure_backend(None)
os.remove(tmp_xlsx)
os.rmdir(tmp_dir)
# Real chunking: chunk calls plus a final synthesis call.
self.assertGreater(len(backend.calls), 1)
self.assertIn("Candidate Answers", backend.calls[-1])
self.assertEqual(result, "X")
# ------------------------------------------------------------------
# table_split_qa — over-budget single row still dispatched with a warning
# ------------------------------------------------------------------
def test_table_split_qa_single_row_exceeds_budget(self):
"""When a single header+row prompt exceeds token_limit, the chunker
emits a warning and still dispatches the chunk (rather than hanging
or silently dropping rows)."""
tmp_dir = tempfile.mkdtemp()
tmp_xlsx = os.path.join(tmp_dir, "tiny.xlsx")
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Sheet"
# Two rows, two cols. Even header+1 row will exceed token_limit=1.
ws['A1'] = "Header"
ws['B1'] = "Header"
ws['A2'] = "Value"
ws['B2'] = "Value"
wb.save(tmp_xlsx)
coord_map = paper_serializers.build_coord_map(range(1, 3), range(1, 3))
backend = EchoBackend(response="ans")
cos.configure_backend(backend)
try:
with self.assertLogs('chain_of_spreadsheet', level='WARNING') as cm:
result = cos.table_split_qa(
sheet_data={"coord_map": coord_map},
table_range="A1:B2",
query="Q",
workbook_path=tmp_xlsx,
sheet_name="Sheet",
coord_map=coord_map,
token_limit=1,
)
finally:
cos.configure_backend(None)
os.remove(tmp_xlsx)
os.rmdir(tmp_dir)
self.assertEqual(len(backend.calls), 1)
self.assertNotIn("Candidate Answers", backend.calls[-1])
self.assertEqual(result, "ans")
self.assertTrue(
any("token_limit" in line for line in cm.output),
msg=f"Expected over-budget warning; got: {cm.output}",
)
# ------------------------------------------------------------------
# _call_llm error guard
# ------------------------------------------------------------------
def test_call_llm_raises_not_implemented(self):
"""_call_llm must raise NotImplementedError until a backend is configured."""
with self.assertRaises(NotImplementedError):
cos._call_llm("any prompt")
def test_synthesize_chunk_answers_shortcuts_zero_or_one_candidate(self):
backend = EchoBackend(response="final")
cos.configure_backend(backend)
try:
self.assertEqual(cos._synthesize_chunk_answers("Q", []), "[]")
self.assertEqual(cos._synthesize_chunk_answers("Q", ["[A1]"]), "[A1]")
self.assertEqual(backend.calls, [])
self.assertEqual(cos._synthesize_chunk_answers("Q", ["[A1]", "[B2]"]), "final")
finally:
cos.configure_backend(None)
self.assertEqual(len(backend.calls), 1)
self.assertIn("Candidate Answers", backend.calls[0])
def test_range_regex_accepts_double_quotes(self):
"""LLMs sometimes emit double-quoted ranges; the parser must accept both."""
match = cos._RANGE_RE.search('["range": "A1:F9"]')
self.assertIsNotNone(match)
self.assertEqual(match.group(1) or match.group(2), "A1:F9")
match = cos._RANGE_RE.search("['range': 'B2:Z10']")
self.assertIsNotNone(match)
self.assertEqual(match.group(1) or match.group(2), "B2:Z10")
match = cos._RANGE_RE.search("range: C3:D4")
self.assertIsNotNone(match)
self.assertEqual(match.group(1) or match.group(2), "C3:D4")
def test_extract_ranges_deduplicates_in_order(self):
ranges = cos._extract_ranges(
"[{'range': 'A1:B2'}, {'range': 'C3:D4'}, {'range': 'A1:B2'}]"
)
self.assertEqual(ranges, ["A1:B2", "C3:D4"])
if __name__ == '__main__':
unittest.main()
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