def create_all_tables_from_schemas(table_schemas: list) -> "Metadata":
"""Generates the tables from frictionless table schema (without
relations)."""
table_names, descriptors = get_table_names_and_descriptors(table_schemas)
encrypted_defintions = get_encryption_definitions(table_schemas)
try:
storage = Storage(engine=engine)
# Override the reflection and capture reference to orm
metadata = storage._Storage__metadata = MetaData(
bind=engine) # , schema="generated"
# Override create all so tableschema-sql won't handle table creation
original_create_all = metadata.create_all
metadata.create_all = lambda: None
storage.create(table_names,
descriptors,
encrypted_definitions=encrypted_defintions)
metadata.create_all = original_create_all # Restore
return metadata
except ValidationError:
logger.exception("Validation errors on tableschema.")
raise
def generate_postgresql_tables(engine: Engine) -> None:
logging.info(
"Creation des tables correspondant au schéma relationnel du SNDS, "
"dans la base PostgreSQL exposée depuis un containeur Docekr.")
schemas = get_all_schema()
storage = Storage(engine=engine)
storage.create([schema.descriptor['name'] for schema in schemas],
[schema.descriptor for schema in schemas],
force=True)
def test_storage_autoincrement_mapping(dialect, database_url):
RESOURCE = {
'schema': {
'fields': [{
'name': 'name',
'type': 'string'
}]
},
'data': [['london'], ['paris'], ['rome']],
}
# Write data
engine = create_engine(database_url)
storage = Storage(engine,
autoincrement={'bucket1': 'id'},
prefix='test_storage_autoincrement_mapping_')
storage.create(['bucket1', 'bucket2'],
[RESOURCE['schema'], RESOURCE['schema']],
force=True)
storage.write('bucket1', RESOURCE['data'])
storage.write('bucket2', RESOURCE['data'])
# Read data
assert list(storage.read('bucket1')) == [
[1, 'london'],
[2, 'paris'],
[3, 'rome'],
]
assert list(storage.read('bucket2')) == [
['london'],
['paris'],
['rome'],
]
def test_storage_bad_type():
RESOURCE = {
'schema': {
'fields': [{
'name': 'bad_field',
'type': 'bad_type'
}],
},
'data': []
}
# Create bucket
engine = create_engine(os.environ['POSTGRES_URL'])
storage = Storage(engine=engine, prefix='test_bad_type_')
with pytest.raises(tableschema.exceptions.ValidationError):
storage.create('bad_type', RESOURCE['schema'], force=True)
def process_resource(self, resource: ResourceWrapper):
resource_name = resource.res.name
if resource_name not in self.converted_resources:
return resource
else:
converted_resource = self.converted_resources[resource_name]
mode = converted_resource.get('mode', 'rewrite')
table_name = converted_resource['table-name']
storage = Storage(self.engine, prefix=table_name)
if mode == 'rewrite' and '' in storage.buckets:
storage.delete('')
schema_descriptor = resource.res.descriptor['schema']
schema = self.normalize_schema_for_engine(self.engine.dialect.name,
schema_descriptor)
if '' not in storage.buckets:
logging.info('Creating DB table %s', table_name)
try:
storage.create('', schema)
except ValidationError as e:
logging.error('Error validating schema %r',
schema_descriptor)
for err in e.errors:
logging.error('Error validating schema: %s', err)
raise
else:
storage.describe('', schema)
update_keys = None
if mode == 'update':
update_keys = converted_resource.get('update_keys')
if update_keys is None:
update_keys = schema_descriptor.get('primaryKey', [])
logging.info('Writing to DB %s -> %s (mode=%s, keys=%s)',
resource_name, table_name, mode, update_keys)
return map(
self.get_output_row,
storage.write(
'',
self.normalize_for_engine(self.engine.dialect.name,
resource, schema_descriptor),
keyed=True,
as_generator=True,
update_keys=update_keys,
buffer_size=self.batch_size,
use_bloom_filter=self.use_bloom_filter,
))
def test_storage_only_parameter():
RESOURCE = {
'schema': {
'fields': [
{
'name': 'person_id',
'type': 'integer',
'constraints': {
'required': True
}
},
{
'name': 'name',
'type': 'string'
},
],
'primaryKey':
'person_id',
},
'data': []
}
# Create storage
engine = create_engine(os.environ['POSTGRES_URL'], echo=True)
storage = Storage(engine=engine, prefix='test_only_')
# Delete buckets
storage.delete()
# Create buckets
storage.create('names', RESOURCE['schema'], indexes_fields=[['person_id']])
# Recreate storage limiting reflection
only = lambda table: 'name' not in table
engine = create_engine(os.environ['POSTGRES_URL'], echo=True)
storage = Storage(engine=engine, prefix='test_only_', reflect_only=only)
# Delete non existent bucket
with pytest.raises(tableschema.exceptions.StorageError):
storage.delete('names')
def test_indexes_fields(dialect, database_url):
engine = create_engine(database_url)
storage = Storage(engine=engine, prefix='test_indexes_fields_')
storage.delete()
storage.create(['articles'], [ARTICLES['schema']],
indexes_fields=[[['rating'], ['name']]])
storage.write('articles', ARTICLES['data'])
inspector = reflection.Inspector.from_engine(engine)
indexes = [
index for index in [
inspector.get_indexes(table_name)
for table_name in inspector.get_table_names()
]
][0]
assert indexes
def handle_resource(self, resource, spec, parameters, datapackage):
resource_name = spec['name']
if resource_name not in self.converted_resources:
return resource
else:
converted_resource = self.converted_resources[resource_name]
mode = converted_resource.get('mode', 'rewrite')
table_name = converted_resource['table-name']
storage = Storage(self.engine, prefix=table_name)
if mode == 'rewrite' and '' in storage.buckets:
storage.delete('')
schema = self.normalise_schema_for_engine(self.engine.dialect.name,
spec['schema'])
if '' not in storage.buckets:
logging.info('Creating DB table %s', table_name)
try:
storage.create('', schema)
except ValidationError as e:
logging.error('Error validating schema %r', spec['schema'])
for err in e.errors:
logging.error('Error validating schema: %s', err)
raise
else:
storage.describe('', schema)
update_keys = None
if mode == 'update':
update_keys = converted_resource.get('update_keys')
if update_keys is None:
update_keys = spec['schema'].get('primaryKey', [])
logging.info('Writing to DB %s -> %s (mode=%s, keys=%s)',
resource_name, table_name, mode, update_keys)
return map(
self.get_output_row,
storage.write('',
self.normalise_for_engine(
self.engine.dialect.name, resource, spec),
keyed=True,
as_generator=True,
update_keys=update_keys))
def test_storage_write_generator():
# Create storage
engine = create_engine(os.environ['SQLITE_URL'])
storage = Storage(engine=engine, prefix='test_storage_')
# Create bucket
storage.create('comments', remove_fk(COMMENTS['schema']), force=True)
# Write data using generator
gen = storage.write('comments', COMMENTS['data'], as_generator=True)
res = list(gen)
# Assert
assert len(res) == 2
assert storage.read('comments') == cast(COMMENTS)['data']
def test_storage_bigdata():
RESOURCE = {
'schema': {
'fields': [{
'name': 'id',
'type': 'integer'
}]
},
'data': [{
'id': value
} for value in range(0, 2500)]
}
# Write data
engine = create_engine(os.environ['POSTGRES_URL'])
storage = Storage(engine=engine, prefix='test_storage_bigdata_')
storage.create('bucket', RESOURCE['schema'], force=True)
storage.write('bucket', RESOURCE['data'], keyed=True)
# Read data
assert list(storage.read('bucket')) == list(
map(lambda x: [x['id']], RESOURCE['data']))
def test_storage_bigdata_rollback():
RESOURCE = {
'schema': {
'fields': [{
'name': 'id',
'type': 'integer'
}]
},
'data': [(value, ) for value in range(0, 2500)] + [('bad-value', )]
}
# Write data
engine = create_engine(os.environ['POSTGRES_URL'])
storage = Storage(engine=engine, prefix='test_storage_bigdata_rollback_')
storage.create('bucket', RESOURCE['schema'], force=True)
try:
storage.write('bucket', RESOURCE['data'])
except Exception:
pass
# Read data
assert list(storage.read('bucket')) == []
def test_storage_constraints(dialect, database_url):
schema = {
'fields': [
{
'name': 'stringMinLength',
'type': 'string',
'constraints': {
'minLength': 5
}
},
{
'name': 'stringMaxLength',
'type': 'string',
'constraints': {
'maxLength': 5
}
},
{
'name': 'numberMinimum',
'type': 'number',
'constraints': {
'minimum': 5
}
},
{
'name': 'numberMaximum',
'type': 'number',
'constraints': {
'maximum': 5
}
},
{
'name': 'stringPattern',
'type': 'string',
'constraints': {
'pattern': '^[a-z]+$'
}
},
{
'name': 'stringEnum',
'type': 'string',
'constraints': {
'enum': ['test']
}
},
]
}
# Create table
engine = create_engine(database_url)
storage = Storage(engine, prefix='test_storage_constraints_')
storage.create('bucket', schema, force=True)
table_name = 'test_storage_constraints_bucket'
# Write valid data
storage.write('bucket', [['aaaaa', 'aaaaa', 5, 5, 'test', 'test']])
# Write invalid data (stringMinLength)
with pytest.raises(sa.exc.IntegrityError) as excinfo:
pattern = "INSERT INTO %s VALUES('a', 'aaaaa', 5, 5, 'test', 'test')"
engine.execute(pattern % table_name)
# Write invalid data (stringMaxLength)
with pytest.raises(sa.exc.IntegrityError) as excinfo:
pattern = "INSERT INTO %s VALUES('aaaaa', 'aaaaaaaaa', 5, 5, 'test', 'test')"
engine.execute(pattern % table_name)
# Write invalid data (numberMinimum)
with pytest.raises(sa.exc.IntegrityError) as excinfo:
pattern = "INSERT INTO %s VALUES('aaaaa', 'aaaaa', 1, 5, 'test', 'test')"
engine.execute(pattern % table_name)
# Write invalid data (numberMaximum)
with pytest.raises(sa.exc.IntegrityError) as excinfo:
pattern = "INSERT INTO %s VALUES('aaaaa', 'aaaaa', 5, 9, 'test', 'test')"
engine.execute(pattern % table_name)
# Write invalid data (stringPattern)
with pytest.raises(sa.exc.IntegrityError) as excinfo:
pattern = "INSERT INTO %s VALUES('aaaaa', 'aaaaa', 5, 5, 'bad1', 'test')"
engine.execute(pattern % table_name)
# Write invalid data (stringEnum)
with pytest.raises((sa.exc.DataError, sa.exc.IntegrityError)) as excinfo:
pattern = "INSERT INTO %s VALUES('aaaaa', 'aaaaa', 5, 5, 'test', 'bad')"
engine.execute(pattern % table_name)
def test_storage():
# Create storage
engine = create_engine(os.environ['POSTGRES_URL'])
storage = Storage(engine=engine, prefix='test_storage_')
# Delete buckets
storage.delete()
# Create buckets
storage.create(['articles', 'comments'],
[ARTICLES['schema'], COMMENTS['schema']],
indexes_fields=[[['rating'], ['name']], []])
storage.create('comments', COMMENTS['schema'], force=True)
storage.create('temporal', TEMPORAL['schema'])
storage.create('location', LOCATION['schema'])
storage.create('compound', COMPOUND['schema'])
# Write data
storage.write('articles', ARTICLES['data'])
storage.write('comments', COMMENTS['data'])
storage.write('temporal', TEMPORAL['data'])
storage.write('location', LOCATION['data'])
storage.write('compound', COMPOUND['data'])
# Create new storage to use reflection only
storage = Storage(engine=engine, prefix='test_storage_')
# Create existent bucket
with pytest.raises(tableschema.exceptions.StorageError):
storage.create('articles', ARTICLES['schema'])
# Assert buckets
assert storage.buckets == [
'articles', 'compound', 'location', 'temporal', 'comments'
]
# Assert schemas
assert storage.describe('articles') == ARTICLES['schema']
assert storage.describe('comments') == {
'fields': [
{
'name': 'entry_id',
'type': 'integer',
'constraints': {
'required': True
}
},
{
'name': 'comment',
'type': 'string'
},
{
'name': 'note',
'type': 'string'
}, # type downgrade
],
'primaryKey':
'entry_id',
'foreignKeys': [
{
'fields': 'entry_id',
'reference': {
'resource': 'articles',
'fields': 'id'
}
},
],
}
assert storage.describe('temporal') == {
'fields': [
{
'name': 'date',
'type': 'date'
},
{
'name': 'date_year',
'type': 'date'
}, # format removal
{
'name': 'datetime',
'type': 'datetime'
},
{
'name': 'duration',
'type': 'string'
}, # type fallback
{
'name': 'time',
'type': 'time'
},
{
'name': 'year',
'type': 'integer'
}, # type downgrade
{
'name': 'yearmonth',
'type': 'string'
}, # type fallback
],
}
assert storage.describe('location') == {
'fields': [
{
'name': 'location',
'type': 'object'
}, # type downgrade
{
'name': 'geopoint',
'type': 'string'
}, # type fallback
],
}
assert storage.describe('compound') == {
'fields': [
{
'name': 'stats',
'type': 'object'
},
{
'name': 'persons',
'type': 'object'
}, # type downgrade
],
}
# Assert data
assert storage.read('articles') == cast(ARTICLES)['data']
assert storage.read('comments') == cast(COMMENTS)['data']
assert storage.read('temporal') == cast(TEMPORAL,
skip=['duration',
'yearmonth'])['data']
assert storage.read('location') == cast(LOCATION,
skip=['geopoint'])['data']
assert storage.read('compound') == cast(COMPOUND)['data']
# Assert data with forced schema
storage.describe('compound', COMPOUND['schema'])
assert storage.read('compound') == cast(COMPOUND)['data']
# Delete non existent bucket
with pytest.raises(tableschema.exceptions.StorageError):
storage.delete('non_existent')
# Delete buckets
storage.delete()
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import io
import json
from sqlalchemy import create_engine
from tableschema_sql import Storage
from tableschema_sql.crypto import AES_GCM_Engine, AWS_AES_Engine
# Engine
engine = create_engine('postgresql://*****:*****@localhost:5432/postgres')
# Storage
storage = Storage(engine=engine, prefix='')
# Define encryption options
encryptedDefintion = {
"records": {
"*": {
"key": "G8Zkf^94Ra505tHliIxAMZy9GJObEyF1",
"engine": AES_GCM_Engine
}
}
}
# Create tables
records_schema = """
{
"primaryKey": "id",
from dotenv import load_dotenv
load_dotenv('.env')
from tableschema_sql import Storage
# Get resources
articles_schema = json.load(io.open('data/articles.json', encoding='utf-8'))
comments_schema = json.load(io.open('data/comments.json', encoding='utf-8'))
articles_data = topen('data/articles.csv', with_headers=True).read()
comments_data = topen('data/comments.csv', with_headers=True).read()
# Engine
engine = create_engine(os.environ['POSTGRES_URL'])
# Storage
storage = Storage(engine=engine, prefix='prefix_')
# Delete tables
for table in reversed(storage.tables):
storage.delete(table)
# Create tables
storage.create(['articles', 'comments'], [articles_schema, comments_schema])
# Write data to tables
storage.write('articles', articles_data)
storage.write('comments', comments_data)
# List tables
print(storage.tables)
def test_storage_update(use_bloom_filter, buffer_size):
RESOURCE = {
'schema': {
'fields': [
{
'name': 'person_id',
'type': 'integer',
'constraints': {
'required': True
}
},
{
'name': 'name',
'type': 'string',
'constraints': {
'required': True
}
},
{
'name': 'favorite_color',
'type': 'string'
},
],
'primaryKey':
'person_id',
},
'data': [
['1', 'ulysses', 'blue'],
['2', 'theseus', 'green'],
['3', 'perseus', 'red'],
['4', 'dedalus', 'yellow'],
],
'updateData': [
['5', 'apollo', 'orange'],
['3', 'perseus', 'magenta'],
['6', 'zeus', 'grey'],
[
'4',
'dedalus',
'sunshine',
],
['5', 'apollo', 'peach'],
],
}
# Create storage
update_keys = ['person_id', 'name']
engine = create_engine(os.environ['POSTGRES_URL'])
storage = Storage(engine=engine,
prefix='test_update_',
autoincrement='__id')
# Delete buckets
storage.delete()
# Create buckets
storage.create('colors', RESOURCE['schema'])
# Write data to buckets
storage.write('colors', RESOURCE['data'], update_keys=update_keys)
gen = storage.write('colors',
RESOURCE['updateData'],
update_keys=update_keys,
as_generator=True,
use_bloom_filter=use_bloom_filter,
buffer_size=buffer_size)
gen = list(gen)
assert len(gen) == 5
assert len(list(filter(lambda i: i.updated, gen))) == 3
assert list(map(lambda i: i.updated_id, gen)) == [5, 3, 6, 4, 5]
# Reflect storage
storage = Storage(engine=engine,
prefix='test_update_',
autoincrement='__id')
gen = storage.write('colors',
RESOURCE['updateData'],
update_keys=update_keys,
as_generator=True,
use_bloom_filter=use_bloom_filter,
buffer_size=buffer_size)
gen = list(gen)
assert len(gen) == 5
assert len(list(filter(lambda i: i.updated, gen))) == 5
assert list(map(lambda i: i.updated_id, gen)) == [5, 3, 6, 4, 5]
# Create new storage to use reflection only
storage = Storage(engine=engine, prefix='test_update_')
# Assert data
rows = list(storage.iter('colors'))
assert len(rows) == 6
color_by_person = dict((row[1], row[3]) for row in rows)
assert color_by_person == {
1: 'blue',
2: 'green',
3: 'magenta',
4: 'sunshine',
5: 'peach',
6: 'grey'
}
# Storage without autoincrement
storage = Storage(engine=engine, prefix='test_update_')
storage.delete()
storage.create('colors', RESOURCE['schema'])
storage.write('colors',
RESOURCE['data'],
update_keys=update_keys,
use_bloom_filter=use_bloom_filter,
buffer_size=buffer_size)
gen = storage.write('colors',
RESOURCE['updateData'],
update_keys=update_keys,
as_generator=True,
use_bloom_filter=use_bloom_filter,
buffer_size=buffer_size)
gen = list(gen)
assert len(gen) == 5
assert len(list(filter(lambda i: i.updated, gen))) == 3
assert list(map(lambda i: i.updated_id,
gen)) == [None, None, None, None, None]
def load_fdp_to_db(self, package, callback=noop):
"""
Load an FDP to the database, create a babbage model and save it as well
:param package: URL for the datapackage.json
:param callback: callback to use to send progress updates
"""
self.callback = callback
self.package = package
# Load and validate the datapackage
self.status_update(status=STATUS_LOADING_DATAPACKAGE)
self.dpo = DataPackage(package)
self.status_update(status=STATUS_VALIDATING_DATAPACKAGE)
self.dpo.validate()
self.status_update(status=STATUS_LOADING_RESOURCE)
resource = self.dpo.resources[0]
schema = resource.descriptor['schema']
# Use the cube manager to get the table name
self.datapackage_name = self.dpo.descriptor['name']
datapackage_owner = self.dpo.descriptor['owner']
datapackage_author = self.dpo.descriptor['author']
# Get the full name from the author field, and rewrite it without the email
self.fullname, email_addr = email.utils.parseaddr(datapackage_author)
email_addr = email_addr.split('@')[0] + '@not.shown'
self.dpo.descriptor['author'] = '{0} <{1}>'.format(
self.fullname, email_addr)
self.dpo.descriptor.setdefault('private', True)
self.model_name = "{0}:{1}".format(datapackage_owner,
self.datapackage_name)
table_name = table_name_for_package(datapackage_owner,
self.datapackage_name)
try:
all_fields = set()
field_translation = {}
# Process schema - slugify field names
for field in schema['fields']:
name = database_name(field['name'], all_fields)
all_fields.add(name)
translated_field = {'name': name, 'type': field['type']}
field_translation[field['name']] = translated_field
storage_schema = {
'fields': [{
'type': f['type'],
'name': field_translation[f['name']]['name'],
'format': f.get('format', 'default')
} for f in schema['fields']],
# Babbage likes just one primary key
'primaryKey':
'_id'
}
# Add Primary key to schema
storage_schema['fields'].insert(0, {
'name': '_id',
'type': 'integer'
})
# Create Babbage Model
self.status_update(status=STATUS_CREATING_BABBAGE_MODEL)
self.model = fdp_to_model(self.dpo, table_name, resource,
field_translation)
if self.check_hashes(resource):
# Create indexes
indexes = set()
primary_keys = schema.get('primaryKey', [])
for dim in self.dpo.descriptor.get('model',
{}).get('dimensions',
{}).values():
attributes = dim.get('attributes', {})
for attribute in attributes.values():
source = attribute.get('source')
if source in primary_keys:
indexes.add((field_translation[source]['name'], ))
labelfor = attribute.get('labelfor')
if labelfor is not None:
labelfor = attributes.get(labelfor, {})
labelfor_source = labelfor.get('source')
if labelfor_source in primary_keys:
indexes.add((
field_translation[labelfor_source]['name'],
field_translation[source]['name'],
))
indexes = list(indexes)
logging.error('INDEXES: %r', indexes)
#
# if dim['label'] in primary_keys:
# key_field = dim['attributes'][dim['key_attribute']]['label']
# key_field = field_translation[key_field]['name']
# indexes.append((key_field,))
#
# label_field = dim['attributes'].get(dim.get('label_attribute'), {}).get('label')
# if label_field is not None:
# label_field = field_translation[label_field]['name']
# if label_field != key_field:
# indexes.append((key_field, label_field))
# Load 1st resource data into DB
# We use the prefix name so that JTS-SQL doesn't load all table data into memory
storage = Storage(self.engine, prefix=table_name)
faux_table_name = ''
if faux_table_name in storage.buckets:
self.status_update(status=STATUS_DELETING_TABLE)
storage.delete(faux_table_name)
self.status_update(status=STATUS_CREATING_TABLE)
indexes_fields = None
if indexes:
indexes_fields = [indexes]
storage.create(faux_table_name,
storage_schema,
indexes_fields=indexes_fields)
self.status_update(status=STATUS_LOADING_DATA_READY)
row_processor = RowProcessor(resource.iter(keyed=True),
self.status_update, schema,
self.dpo.descriptor)
storage.write(faux_table_name, row_processor.iter())
cache = get_os_cache()
if cache is not None:
logging.info('Clearing cache for context=%s',
self.model_name)
cache.clear(self.model_name)
response = {
'model_name': self.model_name,
'babbage_model': self.model,
'package': self.dpo.descriptor
}
self.status_update(status=STATUS_DONE, data=response)
except Exception as e:
logging.exception('LOADING FAILED')
self.status_update(status=STATUS_FAIL,
error=traceback.format_exc())
return False
return True
def test_storage_limited_databases(dialect, database_url):
# Create storage
engine = create_engine(database_url)
storage = Storage(engine=engine, prefix='test_storage_')
# Delete buckets
storage.delete()
# Create buckets
storage.create(
['articles', 'comments'],
[remove_fk(ARTICLES['schema']),
remove_fk(COMMENTS['schema'])],
indexes_fields=[[['rating'], ['name']], []])
storage.create('comments', remove_fk(COMMENTS['schema']), force=True)
storage.create('temporal', TEMPORAL['schema'])
storage.create('location', LOCATION['schema'])
storage.create('compound', COMPOUND['schema'])
# Write data
storage.write('articles', ARTICLES['data'])
storage.write('comments', COMMENTS['data'])
storage.write('temporal', TEMPORAL['data'])
storage.write('location', LOCATION['data'])
storage.write('compound', COMPOUND['data'])
# Create new storage to use reflection only
storage = Storage(engine=engine, prefix='test_storage_')
# Create existent bucket
with pytest.raises(tableschema.exceptions.StorageError):
storage.create('articles', ARTICLES['schema'])
# Assert buckets
assert storage.buckets == [
'articles', 'comments', 'compound', 'location', 'temporal'
]
# Assert schemas
assert storage.describe('articles') == {
'fields': [
{
'name': 'id',
'type': 'integer',
'constraints': {
'required': True
}
},
{
'name': 'parent',
'type': 'integer'
},
{
'name': 'name',
'type': 'string'
},
{
'name': 'current',
'type': 'boolean' if dialect == 'sqlite' else 'integer'
},
{
'name': 'rating',
'type': 'number'
},
],
'primaryKey':
'id',
# foreignKeys not supported
}
assert storage.describe('comments') == {
'fields': [
{
'name': 'entry_id',
'type': 'integer',
'constraints': {
'required': True
}
},
{
'name': 'comment',
'type': 'string'
},
{
'name': 'note',
'type': 'string'
}, # type downgrade
],
'primaryKey':
'entry_id',
# foreignKeys not supported
}
assert storage.describe('temporal') == {
'fields': [
{
'name': 'date',
'type': 'date'
},
{
'name': 'date_year',
'type': 'date'
}, # format removal
{
'name': 'datetime',
'type': 'datetime'
},
{
'name': 'duration',
'type': 'string'
}, # type fallback
{
'name': 'time',
'type': 'time'
},
{
'name': 'year',
'type': 'integer'
}, # type downgrade
{
'name': 'yearmonth',
'type': 'string'
}, # type fallback
],
}
assert storage.describe('location') == {
'fields': [
{
'name': 'location',
'type': 'string'
}, # type fallback
{
'name': 'geopoint',
'type': 'string'
}, # type fallback
],
}
assert storage.describe('compound') == {
'fields': [
{
'name': 'stats',
'type': 'string'
}, # type fallback
{
'name': 'persons',
'type': 'string'
}, # type fallback
],
}
# Assert data
assert storage.read('articles') == cast(ARTICLES)['data']
assert storage.read('comments') == cast(COMMENTS)['data']
assert storage.read('temporal') == cast(TEMPORAL,
skip=['duration',
'yearmonth'])['data']
assert storage.read('location') == cast(LOCATION,
skip=['geojson',
'geopoint'])['data']
assert storage.read('compound') == cast(COMPOUND, skip=['array',
'object'])['data']
# Assert data with forced schema
storage.describe('compound', COMPOUND['schema'])
assert storage.read('compound') == cast(COMPOUND)['data']
# Delete non existent bucket
with pytest.raises(tableschema.exceptions.StorageError):
storage.delete('non_existent')
# Delete buckets
storage.delete()