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https://github.com/simonw/sqlite-utils.git
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Truncate values longer than 100 characters
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parent
c0d21956bc
commit
955daaaf05
2 changed files with 24 additions and 10 deletions
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@ -1943,11 +1943,22 @@ class Table(Queryable):
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)
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return self
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def analyze_column(self, column, common_limit=10, total_rows=None):
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def analyze_column(
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self, column, common_limit=10, value_truncate=100, total_rows=None
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):
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db = self.db
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table = self.name
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if total_rows is None:
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total_rows = db[table].count
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def truncate(value):
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if value_truncate is None or isinstance(value, (float, int)):
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return value
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value = str(value)
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if len(value) > value_truncate:
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value = value[:value_truncate] + "..."
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return value
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num_null = db.execute(
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"select count(*) from [{}] where [{}] is null".format(table, column)
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).fetchone()[0]
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@ -1963,10 +1974,10 @@ class Table(Queryable):
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value = db.execute(
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"select [{}] from [{}] limit 1".format(column, table)
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).fetchone()[0]
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most_common = [(value, total_rows)]
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most_common = [(truncate(value), total_rows)]
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elif num_distinct != total_rows:
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most_common = [
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(r[0], r[1])
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(truncate(r[0]), r[1])
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for r in db.execute(
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"select [{}], count(*) from [{}] group by [{}] order by count(*) desc limit {}".format(
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column, table, column, common_limit
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@ -1978,7 +1989,7 @@ class Table(Queryable):
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least_common = None
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else:
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least_common = [
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(r[0], r[1])
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(truncate(r[0]), r[1])
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for r in db.execute(
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"select [{}], count(*) from [{}] group by [{}] order by count(*) limit {}".format(
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column, table, column, common_limit
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@ -12,11 +12,11 @@ def db_to_analyze(fresh_db):
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stuff = fresh_db["stuff"]
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stuff.insert_all(
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[
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{"id": 1, "owner": "Terry", "size": 5},
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{"id": 1, "owner": "Terryterryterry", "size": 5},
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{"id": 2, "owner": "Joan", "size": 4},
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{"id": 3, "owner": "Kumar", "size": 5},
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{"id": 4, "owner": "Anne", "size": 5},
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{"id": 5, "owner": "Terry", "size": 5},
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{"id": 5, "owner": "Terryterryterry", "size": 5},
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{"id": 6, "owner": "Joan", "size": 4},
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{"id": 7, "owner": "Kumar", "size": 5},
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{"id": 8, "owner": "Joan", "size": 4},
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@ -51,7 +51,7 @@ def db_to_analyze(fresh_db):
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num_null=0,
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num_blank=0,
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num_distinct=4,
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most_common=[("Joan", 3), ("Terry", 2)],
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most_common=[("Joan", 3), ("Terry...", 2)],
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least_common=[("Anne", 1), ("Kumar", 2)],
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),
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),
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@ -71,7 +71,10 @@ def db_to_analyze(fresh_db):
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],
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)
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def test_analyze_column(db_to_analyze, column, expected):
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assert db_to_analyze["stuff"].analyze_column(column, common_limit=2) == expected
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assert (
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db_to_analyze["stuff"].analyze_column(column, common_limit=2, value_truncate=5)
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== expected
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)
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@pytest.fixture
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@ -89,7 +92,7 @@ def test_analyze_table(db_to_analyze_path):
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== textwrap.dedent(
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"""
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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)
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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)
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2/3: ColumnDetails(table='stuff', column='owner', total_rows=8, num_null=0, num_blank=0, num_distinct=4, most_common=[('Joan', 3), ('Terryterryterry', 2), ('Kumar', 2), ('Anne', 1)], least_common=None)
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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)
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"""
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).strip()
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@ -119,7 +122,7 @@ def test_analyze_table_save(db_to_analyze_path):
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"num_null": 0,
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"num_blank": 0,
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"num_distinct": 4,
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"most_common": '[["Joan", 3], ["Terry", 2], ["Kumar", 2], ["Anne", 1]]',
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"most_common": '[["Joan", 3], ["Terryterryterry", 2], ["Kumar", 2], ["Anne", 1]]',
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"least_common": None,
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},
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{
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