def test_load_erroneous_csv():
err_csv = (b"id,name,category_id/id\n"
b"__test__.partner_fail,Test, xmlid_not_found\n")
csv_stream = BytesIO()
csv_stream.write(err_csv)
csv_stream.seek(0)
with anthem.cli.Context(None, anthem.cli.Options(test_mode=True)) as ctx:
with pytest.raises(AnthemError):
load_csv_stream(ctx, 'res.partner', csv_stream, delimiter=',')
def test_load_erroneous_csv():
err_csv = (b"id,name,category_id/id\n"
b"__test__.partner_fail,Test, xmlid_not_found\n")
csv_stream = BytesIO()
csv_stream.write(err_csv)
csv_stream.seek(0)
with anthem.cli.Context(None, anthem.cli.Options(test_mode=True)) as ctx:
with pytest.raises(AnthemError):
load_csv_stream(ctx, 'res.partner', csv_stream, delimiter=',')
def load_csv(ctx, path, model, delimiter=",", header=None, header_exclude=None):
content = resource_stream(req, path)
load_csv_stream(
ctx,
model,
content,
delimiter=delimiter,
header=header,
header_exclude=header_exclude,
)
def test_load_csv_stream_model():
csv_stream = BytesIO()
csv_stream.write(csv_partner)
csv_stream.seek(0)
with anthem.cli.Context(None, anthem.cli.Options(test_mode=True)) as ctx:
load_csv_stream(ctx, ctx.env['res.partner'], csv_stream, delimiter=',')
partner1 = ctx.env.ref('__test__.partner1', raise_if_not_found=False)
assert partner1
assert partner1.name == 'Partner 1'
partner2 = ctx.env.ref('__test__.partner2', raise_if_not_found=False)
assert partner2
assert partner2.name == 'Partner 2'
def test_load_csv_stream_model():
csv_stream = BytesIO()
csv_stream.write(csv_partner)
csv_stream.seek(0)
with anthem.cli.Context(None, anthem.cli.Options(test_mode=True)) as ctx:
load_csv_stream(ctx, ctx.env['res.partner'], csv_stream, delimiter=',')
partner1 = ctx.env.ref('__test__.partner1', raise_if_not_found=False)
assert partner1
assert partner1.name == 'Partner 1'
partner2 = ctx.env.ref('__test__.partner2', raise_if_not_found=False)
assert partner2
assert partner2.name == 'Partner 2'
def test_load_csv_stream_model_string():
""" Pass string instead of model to load_csv_stream """
csv_stream = StringIO()
csv_stream.write(csv_partner)
csv_stream.seek(0)
with anthem.cli.Context(None, anthem.cli.Options(test_mode=True)) as ctx:
load_csv_stream(ctx, 'res.partner', csv_stream, delimiter=',')
partner1 = ctx.env.ref('__test__.partner1', raise_if_not_found=False)
assert partner1
assert partner1.name == 'Partner 1'
partner2 = ctx.env.ref('__test__.partner2', raise_if_not_found=False)
assert partner2
assert partner2.name == 'Partner 2'
def load_csv(ctx,
path,
model,
delimiter=',',
header=None,
header_exclude=None):
ctx.log_line(
'[DEPRECATED] use `from anthem.lyrics.loaders import load_csv. `'
'\nUpgrade `anthem` to version > 0.11.0. '
'\nUpgrade `docker-odoo-project` image > 2.5.1 '
'or set `ODOO_DATA_PATH=/odoo/data` in Dockerfile.')
content = resource_stream(req, path)
load_csv_stream(ctx,
model,
content,
delimiter=delimiter,
header=header,
header_exclude=header_exclude)
def load_csv_parallel(ctx,
model,
csv_path,
defer_parent_computation=True,
delimiter=','):
"""Use me to load an heavy file ~2k of lines or more.
Then calling this method as a parameter of importer.sh
importer.sh will split the file in chunks per number of processor
and per 500.
This method will be called once per chunk in order to do the csv loading
on multiple processes.
Usage::
@anthem.log
def setup_locations(ctx):
load_csv_parallel(
ctx,
'stock.location',
'data/install/stock.location.csv',
defer_parent_computation=True)
Then in `migration.yml`::
- importer.sh songs.install.inventory::setup_locations /odoo/data/install/stock.location.csv
# if defer_parent_computation=True
- anthem songs.install.inventory::location_compute_parents
""" # noqa
load_ctx = ctx.env.context.copy()
if defer_parent_computation:
load_ctx.update({'defer_parent_store_computation': 'manually'})
if isinstance(model, str):
model = ctx.env[model]
model = model.with_context(**load_ctx)
for content in get_files(csv_path):
load_csv_stream(ctx, model, content, delimiter=delimiter)
def load_csv(ctx, path, model, delimiter=','):
content = resource_stream(req, path)
load_csv_stream(ctx, model, content, delimiter=delimiter)