def cmd_text(args):
"""
Download the model descriptions as text
"""
# pylint: disable=unused-argument
with API_SERVICE.app_context():
for model in [Recipe, Ingredient, GroceryItem, Tag]:
download_model_descriptions(model)
def run_import():
"""
imports the json data into real postgres database
"""
with API_SERVICE.app_context():
API_SERVICE.config["SQLALCHEMY_ECHO"] = True
imp = Importer(os.path.join(APP_ROOT, "scraping", "data"), models.db)
imp.run()
def main():
ctx = API_SERVICE.app_context()
ctx.push()
with open("/home/noelb/veggie.sql", "r") as _file:
db.engine.execute(_file.read())
ctx.pop()
def cmd_build(args):
"""
Build the index_cache_files from the database
"""
# pylint: disable=unused-argument
with API_SERVICE.app_context():
for model in [Recipe, Ingredient, GroceryItem, Tag]:
tablename = model.__tablename__
print("Building index for {}...\n".format(tablename))
index_path = os.path.join("search_indices", tablename + "_index.p")
os.makedirs(os.path.dirname(index_path), exist_ok=True)
build_index(model, index_path)
def database_connect(callback):
"""
Setup up a database connection, pass the database object to the callback,
then teardown the connection.
"""
ctx = API_SERVICE.app_context()
ctx.push()
callback(db)
ctx.pop()
def cmd_search(args):
"""
Perform a test search
"""
assert len(args) >= 3
page = int(args[0])
page_size = int(args[1])
with API_SERVICE.app_context():
results, count = page_search(" ".join(args[2:]), page, page_size)
print("\n{} results found.\n".format(count))
for result in results:
result.contextualize()
for idx, result in enumerate(results):
print("{:3d}: {}".format(idx, result))
for context in result.contexts:
print("\t" + context)
def get_connection_context():
ctx = API_SERVICE.app_context()
ctx.push()
return ctx