--encoding option for non-utf8 CSV/TSV, closes #182

This commit is contained in:
Simon Willison 2020-10-16 10:18:46 -07:00
commit 2c541fac35
3 changed files with 137 additions and 36 deletions

View file

@ -354,6 +354,10 @@ For tab-delimited data, use ``--tsv``::
$ sqlite-utils insert dogs.db dogs docs.tsv --tsv
Data is expected to be encoded as Unicode UTF-8. If your data is an another character encoding you can specify it using the ``--encoding`` option::
$ sqlite-utils insert dogs.db dogs docs.tsv --tsv --encoding=latin-1
.. _cli_insert_replace:
Insert-replacing data

View file

@ -1,5 +1,6 @@
import base64
import click
import codecs
from click_default_group import DefaultGroup
from datetime import datetime
import hashlib
@ -15,6 +16,18 @@ from .utils import sqlite3, decode_base64_values
VALID_COLUMN_TYPES = ("INTEGER", "TEXT", "FLOAT", "BLOB")
UNICODE_ERROR = """
{}
The input you provided uses a character encoding other than utf-8.
You can fix this by passing the --encoding= option with the encoding of the file.
If you do not know the encoding, running 'file filename.csv' may tell you.
It's often worth trying: --encoding=latin-1
""".strip()
def output_options(fn):
for decorator in reversed(
@ -493,7 +506,7 @@ def insert_upsert_options(fn):
required=True,
),
click.argument("table"),
click.argument("json_file", type=click.File(), required=True),
click.argument("json_file", type=click.File("rb"), required=True),
click.option(
"--pk", help="Columns to use as the primary key, e.g. id", multiple=True
),
@ -519,6 +532,10 @@ def insert_upsert_options(fn):
type=(str, str),
help="Default value that should be set for a column",
),
click.option(
"--encoding",
help="Character encoding for input, defaults to utf-8",
),
)
):
fn = decorator(fn)
@ -541,10 +558,15 @@ def insert_upsert_implementation(
truncate=False,
not_null=None,
default=None,
encoding=None,
):
db = sqlite_utils.Database(path)
if (nl + csv + tsv) >= 2:
raise click.ClickException("Use just one of --nl, --csv or --tsv")
if encoding and not (csv or tsv):
raise click.ClickException("--encoding must be used with --csv or --tsv")
encoding = encoding or "utf-8"
json_file = codecs.getreader(encoding)(json_file)
if pk and len(pk) == 1:
pk = pk[0]
if csv or tsv:
@ -599,6 +621,7 @@ def insert(
tsv,
batch_size,
alter,
encoding,
ignore,
replace,
truncate,
@ -611,49 +634,68 @@ def insert(
Input should be a JSON array of objects, unless --nl or --csv is used.
"""
insert_upsert_implementation(
path,
table,
json_file,
pk,
nl,
csv,
tsv,
batch_size,
alter=alter,
upsert=False,
ignore=ignore,
replace=replace,
truncate=truncate,
not_null=not_null,
default=default,
)
try:
insert_upsert_implementation(
path,
table,
json_file,
pk,
nl,
csv,
tsv,
batch_size,
alter=alter,
upsert=False,
ignore=ignore,
replace=replace,
truncate=truncate,
encoding=encoding,
not_null=not_null,
default=default,
)
except UnicodeDecodeError as ex:
raise click.ClickException(UNICODE_ERROR.format(ex))
@cli.command()
@insert_upsert_options
def upsert(
path, table, json_file, pk, nl, csv, tsv, batch_size, alter, not_null, default
path,
table,
json_file,
pk,
nl,
csv,
tsv,
batch_size,
alter,
not_null,
default,
encoding,
):
"""
Upsert records based on their primary key. Works like 'insert' but if
an incoming record has a primary key that matches an existing record
the existing record will be updated.
"""
insert_upsert_implementation(
path,
table,
json_file,
pk,
nl,
csv,
tsv,
batch_size,
alter=alter,
upsert=True,
not_null=not_null,
default=default,
)
try:
insert_upsert_implementation(
path,
table,
json_file,
pk,
nl,
csv,
tsv,
batch_size,
alter=alter,
upsert=True,
not_null=not_null,
default=default,
encoding=encoding,
)
except UnicodeDecodeError as ex:
raise click.ClickException(UNICODE_ERROR.format(ex))
@cli.command(name="create-table")

View file

@ -685,7 +685,9 @@ def test_insert_csv_tsv(content, option, db_path, tmpdir):
db = Database(db_path)
file_path = str(tmpdir / "insert.csv-tsv")
open(file_path, "w").write(content)
result = CliRunner().invoke(cli.cli, ["insert", db_path, "data", file_path, option])
result = CliRunner().invoke(
cli.cli, ["insert", db_path, "data", file_path, option], catch_exceptions=False
)
assert 0 == result.exit_code
assert [{"foo": "1", "bar": "2", "baz": "3"}] == list(db["data"].rows)
@ -1024,7 +1026,9 @@ def test_upsert(db_path, tmpdir):
]
open(json_path, "w").write(json.dumps(insert_dogs))
result = CliRunner().invoke(
cli.cli, ["insert", db_path, "dogs", json_path, "--pk", "id"]
cli.cli,
["insert", db_path, "dogs", json_path, "--pk", "id"],
catch_exceptions=False,
)
assert 0 == result.exit_code, result.output
assert 2 == db["dogs"].count
@ -1035,7 +1039,9 @@ def test_upsert(db_path, tmpdir):
]
open(json_path, "w").write(json.dumps(insert_dogs))
result = CliRunner().invoke(
cli.cli, ["upsert", db_path, "dogs", json_path, "--pk", "id"]
cli.cli,
["upsert", db_path, "dogs", json_path, "--pk", "id"],
catch_exceptions=False,
)
assert 0 == result.exit_code, result.output
assert [
@ -1601,3 +1607,52 @@ def test_extract(db_path, args, expected_table_schema, expected_other_schema):
0
].schema
assert other_schema == expected_other_schema
def test_insert_encoding(tmpdir):
db_path = str(tmpdir / "test.db")
latin1_csv = (
b"date,name,latitude,longitude\n"
b"2020-01-01,Barra da Lagoa,-27.574,-48.422\n"
b"2020-03-04,S\xe3o Paulo,-23.561,-46.645\n"
b"2020-04-05,Salta,-24.793:-65.408"
)
assert latin1_csv.decode("latin-1").split("\n")[2].split(",")[1] == "São Paulo"
csv_path = str(tmpdir / "test.csv")
open(csv_path, "wb").write(latin1_csv)
# First attempt should error:
bad_result = CliRunner().invoke(
cli.cli, ["insert", db_path, "places", csv_path, "--csv"]
)
assert bad_result.exit_code == 1
assert (
"The input you provided uses a character encoding other than utf-8"
in bad_result.output
)
# Using --encoding=latin-1 should work
good_result = CliRunner().invoke(
cli.cli,
["insert", db_path, "places", csv_path, "--encoding", "latin-1", "--csv"],
)
assert good_result.exit_code == 0
db = Database(db_path)
assert list(db["places"].rows) == [
{
"date": "2020-01-01",
"name": "Barra da Lagoa",
"latitude": "-27.574",
"longitude": "-48.422",
},
{
"date": "2020-03-04",
"name": "São Paulo",
"latitude": "-23.561",
"longitude": "-46.645",
},
{
"date": "2020-04-05",
"name": "Salta",
"latitude": "-24.793:-65.408",
"longitude": None,
},
]