mirror of
https://github.com/simonw/sqlite-utils.git
synced 2026-07-25 18:34:32 +02:00
Tests for analyze tables
This commit is contained in:
parent
ef219d6b4d
commit
f7efe77ccb
2 changed files with 103 additions and 3 deletions
|
|
@ -1361,7 +1361,14 @@ def insert_files(
|
|||
required=True,
|
||||
)
|
||||
@click.argument("tables", nargs=-1)
|
||||
@click.option("-c", "--column", "columns", type=str, multiple=True, help="Specific columns to analyze")
|
||||
@click.option(
|
||||
"-c",
|
||||
"--column",
|
||||
"columns",
|
||||
type=str,
|
||||
multiple=True,
|
||||
help="Specific columns to analyze",
|
||||
)
|
||||
@click.option("--save", is_flag=True, help="Save results to _analyze_tables table")
|
||||
@load_extension_option
|
||||
def analyze_tables(
|
||||
|
|
@ -1381,11 +1388,13 @@ def analyze_tables(
|
|||
for table in tables:
|
||||
table_counts[table] = db[table].count
|
||||
for column in db[table].columns:
|
||||
if (not columns or column.name in columns):
|
||||
if not columns or column.name in columns:
|
||||
todo.append((table, column.name))
|
||||
# Now we now how many we need to do
|
||||
for i, (table, column) in enumerate(todo):
|
||||
column_details = db[table].analyze_column(column, total_rows=table_counts[table])
|
||||
column_details = db[table].analyze_column(
|
||||
column, total_rows=table_counts[table]
|
||||
)
|
||||
if save:
|
||||
db["_analyze_tables"].insert(
|
||||
column_details._asdict(), pk=("table", "column"), replace=True
|
||||
|
|
|
|||
91
tests/test_analyze_tables.py
Normal file
91
tests/test_analyze_tables.py
Normal file
|
|
@ -0,0 +1,91 @@
|
|||
from sqlite_utils.db import ForeignKey, ColumnDetails
|
||||
from sqlite_utils import cli
|
||||
from sqlite_utils.utils import OperationalError
|
||||
from click.testing import CliRunner
|
||||
import pytest
|
||||
import sqlite3
|
||||
import textwrap
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def db_to_analyze(fresh_db):
|
||||
stuff = fresh_db["stuff"]
|
||||
stuff.insert_all(
|
||||
[
|
||||
{"id": 1, "owner": "Terry", "size": 5},
|
||||
{"id": 2, "owner": "Joan", "size": 4},
|
||||
{"id": 3, "owner": "Kumar", "size": 5},
|
||||
{"id": 4, "owner": "Anne", "size": 5},
|
||||
{"id": 5, "owner": "Terry", "size": 5},
|
||||
{"id": 6, "owner": "Joan", "size": 4},
|
||||
{"id": 7, "owner": "Kumar", "size": 5},
|
||||
{"id": 8, "owner": "Joan", "size": 4},
|
||||
],
|
||||
pk="id",
|
||||
)
|
||||
return fresh_db
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"column,expected",
|
||||
[
|
||||
(
|
||||
"id",
|
||||
ColumnDetails(
|
||||
table="stuff",
|
||||
column="id",
|
||||
total_rows=8,
|
||||
num_null=0,
|
||||
num_blank=0,
|
||||
num_distinct=8,
|
||||
most_common=None,
|
||||
least_common=None,
|
||||
),
|
||||
),
|
||||
(
|
||||
"owner",
|
||||
ColumnDetails(
|
||||
table="stuff",
|
||||
column="owner",
|
||||
total_rows=8,
|
||||
num_null=0,
|
||||
num_blank=0,
|
||||
num_distinct=4,
|
||||
most_common=[("Joan", 3), ("Terry", 2)],
|
||||
least_common=[("Anne", 1), ("Kumar", 2)],
|
||||
),
|
||||
),
|
||||
(
|
||||
"size",
|
||||
ColumnDetails(
|
||||
table="stuff",
|
||||
column="size",
|
||||
total_rows=8,
|
||||
num_null=0,
|
||||
num_blank=0,
|
||||
num_distinct=2,
|
||||
most_common=[(5, 5), (4, 3)],
|
||||
least_common=None,
|
||||
),
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_analyze_column(db_to_analyze, column, expected):
|
||||
assert db_to_analyze["stuff"].analyze_column(column, common_limit=2) == expected
|
||||
|
||||
|
||||
def test_analyze_table(db_to_analyze, tmpdir):
|
||||
path = str(tmpdir / "test.db")
|
||||
db = sqlite3.connect(path)
|
||||
db.executescript("\n".join(db_to_analyze.conn.iterdump()))
|
||||
result = CliRunner().invoke(cli.cli, ["analyze-tables", path])
|
||||
assert (
|
||||
result.output.strip()
|
||||
== textwrap.dedent(
|
||||
"""
|
||||
1/3: ColumnDetails(table='stuff', column='id', total_rows=8, num_null=0, num_blank=0, num_distinct=8, most_common=None, least_common=None)
|
||||
2/3: ColumnDetails(table='stuff', column='owner', total_rows=8, num_null=0, num_blank=0, num_distinct=4, most_common=[('Joan', 3), ('Terry', 2), ('Kumar', 2), ('Anne', 1)], least_common=None)
|
||||
3/3: ColumnDetails(table='stuff', column='size', total_rows=8, num_null=0, num_blank=0, num_distinct=2, most_common=[(5, 5), (4, 3)], least_common=None)
|
||||
"""
|
||||
).strip()
|
||||
)
|
||||
Loading…
Add table
Add a link
Reference in a new issue