Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adds check columns operation #344

Merged
merged 6 commits into from
Feb 20, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
38 changes: 38 additions & 0 deletions digital_land/expectations/operation.py
Original file line number Diff line number Diff line change
Expand Up @@ -186,3 +186,41 @@ def count_deleted_entities(
}

return result, message, details


def check_columns(conn, expected: dict):
# This operation checks that the db connection provided contains the tables with the expected columns provided

# expected: a dictionary containing table names as keys, with a list of their expected columns as the value

details = []
success_count = 0
failure_count = 0
for k, v in expected.items():
table_name = k
expected_columns = v
sql = f"""
PRAGMA table_info({table_name})
"""
rows = conn.execute(sql).fetchall()
actual = [row[1] for row in rows]
success = set(expected_columns).issubset(set(actual))
missing = list(set(expected_columns) - set(actual))
details.append(
{
"table": table_name,
"success": success,
"missing": missing,
"actual": actual,
"expected": expected_columns,
}
)
if success:
success_count += 1
else:
failure_count += 1

result = False if failure_count > 0 else True
message = f"{success_count} out of {success_count + failure_count} tables had expected columns"

return result, message, details
66 changes: 66 additions & 0 deletions tests/integration/expectations/test_operation.py
Original file line number Diff line number Diff line change
@@ -1,8 +1,10 @@
import spatialite
import sqlite3
import pytest
import pandas as pd

from digital_land.expectations.operation import (
check_columns,
count_lpa_boundary,
count_deleted_entities,
)
Expand Down Expand Up @@ -174,3 +176,67 @@ def test_count_deleted_entities(dataset_path, mocker):
for key in detail_keys:
assert key in details, f"{key} missing from details"
assert "1002" in details["entities"]


def test_check_columns(dataset_path):
expected = {
"entity": [
"dataset",
"end_date",
"entity",
"entry_date",
"geojson",
"geometry",
"json",
"name",
"organisation_entity",
"point",
"prefix",
"reference",
"start_date",
"typology",
],
"old_entity": ["old_entity", "entity"],
}

with sqlite3.connect(dataset_path) as conn:
result, message, details = check_columns(conn.cursor(), expected)

assert result
assert "2 out of 2 tables had expected columns" in message

assert details[0]["table"] == "entity"
assert any(x in details[0]["actual"] for x in expected["entity"])
assert any(x in details[0]["expected"] for x in expected["entity"])


def test_check_columns_failure(dataset_path):
expected = {
"entity": [
"missing",
"columns",
"dataset",
"end_date",
"entity",
"entry_date",
"geojson",
"geometry",
"json",
"name",
"organisation_entity",
"point",
"prefix",
"reference",
"start_date",
"typology",
],
"old_entity": ["old_entity", "entity"],
}

with sqlite3.connect(dataset_path) as conn:
result, message, details = check_columns(conn.cursor(), expected)
assert not result
assert "1 out of 2 tables had expected columns" in message
assert not details[0]["success"]
assert "missing" in details[0]["missing"]
assert "columns" in details[0]["missing"]