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https://github.com/simonw/sqlite-utils.git
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Began implementation of sqlite-utils convert, refs #251
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3 changed files with 551 additions and 0 deletions
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@ -17,6 +17,7 @@ import tabulate
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from .utils import (
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file_progress,
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find_spatialite,
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progressbar,
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sqlite3,
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decode_base64_values,
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rows_from_file,
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@ -1903,6 +1904,211 @@ def analyze_tables(
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click.echo(details)
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@cli.command(name="convert")
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@click.argument(
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"db_path",
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type=click.Path(file_okay=True, dir_okay=False, allow_dash=False),
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required=True,
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)
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@click.argument("table", type=str)
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@click.argument("columns", type=str, nargs=-1, required=True)
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@click.argument("code", type=str)
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@click.option(
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"--import", "imports", type=str, multiple=True, help="Python modules to import"
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)
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@click.option(
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"--dry-run", is_flag=True, help="Show results of running this against first 10 rows"
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)
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@click.option(
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"--multi", is_flag=True, help="Populate columns for keys in returned dictionary"
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)
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@click.option("--output", help="Optional separate column to populate with the output")
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@click.option(
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"--output-type",
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help="Column type to use for the output column",
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default="text",
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type=click.Choice(["integer", "float", "blob", "text"]),
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)
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@click.option("--drop", is_flag=True, help="Drop original column afterwards")
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@click.option("-s", "--silent", is_flag=True, help="Don't show a progress bar")
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def lambda_(
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db_path,
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table,
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columns,
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code,
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imports,
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dry_run,
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multi,
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output,
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output_type,
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drop,
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silent,
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):
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"""
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Convert columns using Python code you supply. For example:
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\b
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$ sqlite-utils convert my.db mytable mycolumn
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--code='"\\n".join(textwrap.wrap(value, 10))'
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--import=textwrap
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"value" is a variable with the column value to be converted.
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"""
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if output is not None and len(columns) > 1:
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raise click.ClickException("Cannot use --output with more than one column")
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if multi and len(columns) > 1:
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raise click.ClickException("Cannot use --multi with more than one column")
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# If single line and no 'return', add the return
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if "\n" not in code and not code.strip().startswith("return "):
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code = "return {}".format(code)
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# Compile the code into a function body called fn(value)
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new_code = ["def fn(value):"]
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for line in code.split("\n"):
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new_code.append(" {}".format(line))
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code_o = compile("\n".join(new_code), "<string>", "exec")
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locals = {}
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globals = {}
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for import_ in imports:
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globals[import_] = __import__(import_)
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exec(code_o, globals, locals)
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fn = locals["fn"]
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if dry_run:
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# Pull first 20 values for first column and preview them
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db = sqlite3.connect(db_path)
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db.create_function("preview_transform", 1, lambda v: fn(v) if v else v)
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sql = """
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select
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[{column}] as value,
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preview_transform([{column}]) as preview
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from [{table}] limit 10
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""".format(
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column=columns[0], table=table
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)
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for row in db.execute(sql).fetchall():
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print(row[0])
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print(" --- becomes:")
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print(row[1])
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print()
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elif multi:
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_transform_multi(db_path, table, columns[0], fn, drop, silent)
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else:
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_transform(db_path, table, columns, fn, output, output_type, drop, silent)
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def _transform(db_path, table, columns, fn, output, output_type, drop, silent):
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db = sqlite_utils.Database(db_path)
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count_sql = "select count(*) from [{}]".format(table)
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todo_count = list(db.execute(count_sql).fetchall())[0][0] * len(columns)
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if drop and not output:
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raise click.ClickException("--drop can only be used with --output or --multi")
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if output is not None:
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if output not in db[table].columns_dict:
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db[table].add_column(output, output_type or "text")
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with progressbar(length=todo_count, silent=silent) as bar:
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def transform_value(v):
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bar.update(1)
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if not v:
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return v
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return fn(v)
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db.register_function(transform_value)
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sql = "update [{table}] set {sets};".format(
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table=table,
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sets=", ".join(
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[
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"[{output_column}] = transform_value([{column}])".format(
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output_column=output or column, column=column
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)
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for column in columns
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]
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),
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)
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with db.conn:
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db.execute(sql)
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if drop:
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db[table].transform(drop=columns)
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def _transform_multi(db_path, table, column, fn, drop, silent):
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db = sqlite_utils.Database(db_path)
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# First we execute the function
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pk_to_values = {}
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new_column_types = {}
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pks = [column.name for column in db[table].columns if column.is_pk]
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if not pks:
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pks = ["rowid"]
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with progressbar(
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length=db[table].count, silent=silent, label="1: Evaluating"
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) as bar:
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for row in db[table].rows_where(
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select=", ".join(
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"[{}]".format(column_name) for column_name in (pks + [column])
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)
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):
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row_pk = tuple(row[pk] for pk in pks)
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if len(row_pk) == 1:
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row_pk = row_pk[0]
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values = fn(row[column])
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if values is not None and not isinstance(values, dict):
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raise click.ClickException(
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"With --multi code must return a Python dictionary - returned {}".format(
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repr(values)
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)
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)
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if values:
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for key, value in values.items():
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new_column_types.setdefault(key, set()).add(type(value))
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pk_to_values[row_pk] = values
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bar.update(1)
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# Add any new columns
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columns_to_create = _suggest_column_types(new_column_types)
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for column_name, column_type in columns_to_create.items():
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if column_name not in db[table].columns_dict:
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db[table].add_column(column_name, column_type)
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# Run the updates
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with progressbar(length=db[table].count, silent=silent, label="2: Updating") as bar:
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with db.conn:
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for pk, updates in pk_to_values.items():
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db[table].update(pk, updates)
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bar.update(1)
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if drop:
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db[table].transform(drop=(column,))
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def _suggest_column_types(all_column_types):
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column_types = {}
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for key, types in all_column_types.items():
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# Ignore null values if at least one other type present:
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if len(types) > 1:
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types.discard(None.__class__)
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if {None.__class__} == types:
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t = str
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elif len(types) == 1:
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t = list(types)[0]
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# But if it's a subclass of list / tuple / dict, use str
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# instead as we will be storing it as JSON in the table
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for superclass in (list, tuple, dict):
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if issubclass(t, superclass):
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t = str
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elif {int, bool}.issuperset(types):
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t = int
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elif {int, float, bool}.issuperset(types):
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t = float
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elif {bytes, str}.issuperset(types):
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t = bytes
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else:
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t = str
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column_types[key] = t
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return column_types
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def _render_common(title, values):
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if values is None:
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return ""
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@ -254,3 +254,17 @@ class ValueTracker:
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not_these.append(name)
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for key in not_these:
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del self.couldbe[key]
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class NullProgressBar:
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def update(self, value):
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pass
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@contextlib.contextmanager
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def progressbar(silent=False, **kwargs):
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if silent:
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yield NullProgressBar()
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else:
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with click.progressbar(**kwargs) as bar:
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yield bar
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331
tests/test_convert.py
Normal file
331
tests/test_convert.py
Normal file
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@ -0,0 +1,331 @@
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from click.testing import CliRunner
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from sqlite_utils import cli
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import sqlite_utils
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import textwrap
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import pathlib
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import pytest
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@pytest.fixture
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def test_db_and_path(fresh_db_and_path):
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db, db_path = fresh_db_and_path
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db["example"].insert_all(
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[
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{"id": 1, "dt": "5th October 2019 12:04"},
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{"id": 2, "dt": "6th October 2019 00:05:06"},
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{"id": 3, "dt": ""},
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{"id": 4, "dt": None},
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],
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pk="id",
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)
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return db, db_path
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@pytest.fixture
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def fresh_db_and_path(tmpdir):
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db_path = str(pathlib.Path(tmpdir) / "data.db")
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db = sqlite_utils.Database(db_path)
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return db, db_path
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@pytest.mark.parametrize(
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"code",
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[
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"return value.replace('October', 'Spooktober')",
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# Return is optional:
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"value.replace('October', 'Spooktober')",
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],
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)
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def test_convert_single_line(test_db_and_path, code):
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db, db_path = test_db_and_path
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result = CliRunner().invoke(cli.cli, ["convert", db_path, "example", "dt", code])
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assert 0 == result.exit_code, result.output
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assert [
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{"id": 1, "dt": "5th Spooktober 2019 12:04"},
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{"id": 2, "dt": "6th Spooktober 2019 00:05:06"},
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{"id": 3, "dt": ""},
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{"id": 4, "dt": None},
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] == list(db["example"].rows)
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def test_convert_multiple_lines(test_db_and_path):
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db, db_path = test_db_and_path
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result = CliRunner().invoke(
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cli.cli,
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[
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"convert",
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db_path,
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"example",
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"dt",
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"v = value.replace('October', 'Spooktober')\nreturn v.upper()",
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],
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)
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assert 0 == result.exit_code, result.output
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assert [
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{"id": 1, "dt": "5TH SPOOKTOBER 2019 12:04"},
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{"id": 2, "dt": "6TH SPOOKTOBER 2019 00:05:06"},
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{"id": 3, "dt": ""},
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{"id": 4, "dt": None},
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] == list(db["example"].rows)
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def test_convert_import(test_db_and_path):
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db, db_path = test_db_and_path
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result = CliRunner().invoke(
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cli.cli,
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[
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"convert",
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db_path,
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"example",
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"dt",
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"return re.sub('O..', 'OXX', value)",
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"--import",
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"re",
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],
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)
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assert 0 == result.exit_code, result.output
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assert [
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{"id": 1, "dt": "5th OXXober 2019 12:04"},
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{"id": 2, "dt": "6th OXXober 2019 00:05:06"},
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{"id": 3, "dt": ""},
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{"id": 4, "dt": None},
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] == list(db["example"].rows)
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def test_convert_dryrun(test_db_and_path):
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db, db_path = test_db_and_path
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result = CliRunner().invoke(
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cli.cli,
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[
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"convert",
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db_path,
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"example",
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"dt",
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"return re.sub('O..', 'OXX', value)",
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"--import",
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"re",
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"--dry-run",
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],
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)
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assert result.exit_code == 0
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assert result.output.strip() == (
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"5th October 2019 12:04\n"
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" --- becomes:\n"
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"5th OXXober 2019 12:04\n"
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"\n"
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"6th October 2019 00:05:06\n"
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" --- becomes:\n"
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"6th OXXober 2019 00:05:06\n"
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"\n"
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"\n"
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" --- becomes:\n"
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"\n"
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"\n"
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"None\n"
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" --- becomes:\n"
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"None"
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)
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# But it should not have actually modified the table data
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assert list(db["example"].rows) == [
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{"id": 1, "dt": "5th October 2019 12:04"},
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{"id": 2, "dt": "6th October 2019 00:05:06"},
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{"id": 3, "dt": ""},
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{"id": 4, "dt": None},
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]
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@pytest.mark.parametrize("drop", (True, False))
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def test_convert_output_column(test_db_and_path, drop):
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db, db_path = test_db_and_path
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args = [
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"convert",
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db_path,
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"example",
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"dt",
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"value.replace('October', 'Spooktober')",
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"--output",
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"newcol",
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]
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if drop:
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args += ["--drop"]
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result = CliRunner().invoke(cli.cli, args)
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assert 0 == result.exit_code, result.output
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expected = [
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{
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"id": 1,
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"dt": "5th October 2019 12:04",
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"newcol": "5th Spooktober 2019 12:04",
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},
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{
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"id": 2,
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"dt": "6th October 2019 00:05:06",
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"newcol": "6th Spooktober 2019 00:05:06",
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},
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{"id": 3, "dt": "", "newcol": ""},
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{"id": 4, "dt": None, "newcol": None},
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]
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if drop:
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for row in expected:
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del row["dt"]
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assert list(db["example"].rows) == expected
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@pytest.mark.parametrize(
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"output_type,expected",
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(
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("text", [(1, "1"), (2, "2"), (3, "3"), (4, "4")]),
|
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("float", [(1, 1.0), (2, 2.0), (3, 3.0), (4, 4.0)]),
|
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("integer", [(1, 1), (2, 2), (3, 3), (4, 4)]),
|
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(None, [(1, "1"), (2, "2"), (3, "3"), (4, "4")]),
|
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),
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)
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def test_convert_output_column_output_type(test_db_and_path, output_type, expected):
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db, db_path = test_db_and_path
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args = [
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"convert",
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db_path,
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"example",
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"id",
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"value",
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"--output",
|
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"new_id",
|
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]
|
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if output_type:
|
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args += ["--output-type", output_type]
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result = CliRunner().invoke(
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cli.cli,
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args,
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)
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assert 0 == result.exit_code, result.output
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assert expected == list(db.execute("select id, new_id from example"))
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|
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|
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@pytest.mark.parametrize(
|
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"options,expected_error",
|
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[
|
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(
|
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[
|
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"dt",
|
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"id",
|
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"value.replace('October', 'Spooktober')",
|
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"--output",
|
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"newcol",
|
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],
|
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"Cannot use --output with more than one column",
|
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),
|
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(
|
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[
|
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"dt",
|
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"value.replace('October', 'Spooktober')",
|
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"--output",
|
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"newcol",
|
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"--output-type",
|
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"invalid",
|
||||
],
|
||||
"Error: Invalid value for '--output-type'",
|
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),
|
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(
|
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[
|
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"value.replace('October', 'Spooktober')",
|
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],
|
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"Missing argument 'COLUMNS...'",
|
||||
),
|
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],
|
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)
|
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def test_convert_output_error(test_db_and_path, options, expected_error):
|
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db_path = test_db_and_path[1]
|
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result = CliRunner().invoke(
|
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cli.cli,
|
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[
|
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"convert",
|
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db_path,
|
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"example",
|
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]
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+ options,
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)
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assert result.exit_code != 0
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assert expected_error in result.output
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|
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|
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@pytest.mark.parametrize("drop", (True, False))
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def test_convert_multi(fresh_db_and_path, drop):
|
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db, db_path = fresh_db_and_path
|
||||
db["creatures"].insert_all(
|
||||
[
|
||||
{"id": 1, "name": "Simon"},
|
||||
{"id": 2, "name": "Cleo"},
|
||||
],
|
||||
pk="id",
|
||||
)
|
||||
args = [
|
||||
"convert",
|
||||
db_path,
|
||||
"creatures",
|
||||
"name",
|
||||
"--multi",
|
||||
'{"upper": value.upper(), "lower": value.lower()}',
|
||||
]
|
||||
if drop:
|
||||
args += ["--drop"]
|
||||
result = CliRunner().invoke(cli.cli, args)
|
||||
assert result.exit_code == 0, result.output
|
||||
expected = [
|
||||
{"id": 1, "name": "Simon", "upper": "SIMON", "lower": "simon"},
|
||||
{"id": 2, "name": "Cleo", "upper": "CLEO", "lower": "cleo"},
|
||||
]
|
||||
if drop:
|
||||
for row in expected:
|
||||
del row["name"]
|
||||
assert list(db["creatures"].rows) == expected
|
||||
|
||||
|
||||
def test_convert_multi_complex_column_types(fresh_db_and_path):
|
||||
db, db_path = fresh_db_and_path
|
||||
db["rows"].insert_all(
|
||||
[
|
||||
{"id": 1},
|
||||
{"id": 2},
|
||||
{"id": 3},
|
||||
{"id": 4},
|
||||
],
|
||||
pk="id",
|
||||
)
|
||||
code = textwrap.dedent(
|
||||
"""
|
||||
if value == 1:
|
||||
return {"is_str": "", "is_float": 1.2, "is_int": None}
|
||||
elif value == 2:
|
||||
return {"is_float": 1, "is_int": 12}
|
||||
elif value == 3:
|
||||
return {"is_bytes": b"blah"}
|
||||
"""
|
||||
)
|
||||
result = CliRunner().invoke(
|
||||
cli.cli,
|
||||
[
|
||||
"convert",
|
||||
db_path,
|
||||
"rows",
|
||||
"id",
|
||||
"--multi",
|
||||
code,
|
||||
],
|
||||
)
|
||||
assert result.exit_code == 0, result.output
|
||||
assert list(db["rows"].rows) == [
|
||||
{"id": 1, "is_str": "", "is_float": 1.2, "is_int": None, "is_bytes": None},
|
||||
{"id": 2, "is_str": None, "is_float": 1.0, "is_int": 12, "is_bytes": None},
|
||||
{
|
||||
"id": 3,
|
||||
"is_str": None,
|
||||
"is_float": None,
|
||||
"is_int": None,
|
||||
"is_bytes": b"blah",
|
||||
},
|
||||
{"id": 4, "is_str": None, "is_float": None, "is_int": None, "is_bytes": None},
|
||||
]
|
||||
assert db["rows"].schema == (
|
||||
"CREATE TABLE [rows] (\n"
|
||||
" [id] INTEGER PRIMARY KEY\n"
|
||||
", [is_str] TEXT, [is_float] FLOAT, [is_int] INTEGER, [is_bytes] BLOB)"
|
||||
)
|
||||
Loading…
Add table
Add a link
Reference in a new issue