Commit 383f319c authored by mouadh's avatar mouadh

update docstring

parent fdadd0c6
......@@ -22,8 +22,7 @@ class MdxEngine:
"""
The principal class for executing a query
:param cube_name: Cube name , it must be under cube_folder (example : olapy/cubes/sales)
:param mdx_query: query to execute
:param cube_name: Cube name , it must be under home_directory/olapy-data/CUBE_FOLDER (example : home_directory/olapy-data/cubes/sales)
"""
CUBE_FOLDER = "cubes"
# (before instantiate MdxEngine I need to access cubes information)
......@@ -71,11 +70,11 @@ class MdxEngine:
@classmethod
def get_cubes_names(cls):
'''
:return: list cubes name under cubes folder
:return: list cubes name that exists in cubes folder and postgres database
'''
# get csv files folders (cubes)
# toxworkdir does not expanduser properly
# toxworkdir does not expanduser properly under tox
if RUNNING_TOX:
home_directory = os.environ.get('HOME_DIR')
else:
......@@ -109,7 +108,7 @@ class MdxEngine:
def _get_default_cube_directory(self):
# toxworkdir does not expanduser properly
# toxworkdir does not expanduser properly under tox
if RUNNING_TOX:
home_directory = os.environ.get('HOME_DIR')
else:
......@@ -118,13 +117,18 @@ class MdxEngine:
return os.path.join(home_directory, 'olapy-data', self.cube_folder)
def _get_tables_name(self):
"""
get all tables names
:return: list tables names
"""
return self.tables_loaded.keys()
def _load_table_config_file(self, cube_obj):
"""
load tables from config file
:param cube_obj: cubes object
:return: tables dict with table name as key and dataframe as value
:return: tables dict with table name as key and DataFrame as value
"""
tables = {}
......@@ -191,7 +195,7 @@ class MdxEngine:
def _load_tables(self):
"""
load all tables
load all tables (DataFrames)
:return: dict with key as table name and DataFrame as value
"""
......@@ -201,7 +205,7 @@ class MdxEngine:
) and self.cube in config_file_parser.get_cubes_names():
for cubes in config_file_parser.construct_cubes():
# TODO cubes.source == 'csv'
# TODO working with cubes.source == 'csv'
if cubes.source == 'postgres':
tables = self._load_table_config_file(cubes)
......@@ -227,10 +231,10 @@ class MdxEngine:
def _construct_star_schema_config_file(self, cube_name, cubes_obj):
"""
Construct star schema Dataframe from configuration file
Construct star schema DataFrame from configuration file
:param cube_name: cube name (or database name)
:param cubes_obj: cubes object
:return: star schema Dataframe
:return: star schema DataFrame
"""
self.facts = cubes_obj.facts[0].table_name
......@@ -263,9 +267,9 @@ class MdxEngine:
def _construct_star_schema_csv_files(self, cube_name):
"""
Construct star schema Dataframe from csv files
Construct star schema DataFrame from csv files
:param cube_name: cube name (folder name)
:return: star schema Dataframe
:return: star schema DataFrame
"""
cube = self.get_cube()
......@@ -284,9 +288,9 @@ class MdxEngine:
def _construct_star_schema_db(self, cube_name):
"""
Construct star schema Dataframe from database
Construct star schema DataFrame from database
:param cube_name: cube name (database name)
:return: star schema Dataframe
:return: star schema DataFrame
"""
db = MyDB(db=cube_name)
......@@ -310,9 +314,12 @@ class MdxEngine:
return fusion
def _get_star_schema_dataframe(self, cube_name):
'''
:return: all DataFrames merged as star schema
'''
"""
merge all DataFrames as star schema
:param cube_name: cube name with which we want to generate a star schema model
:return: star schema DataFrame
"""
fusion = None
......@@ -348,13 +355,42 @@ class MdxEngine:
def get_cube(self):
"""
get path to the cube (example /home/your_user_name/olapy-core/cubes)
get path to the cube (example /home_directory/your_user_name/olapy-data/cubes)
:return: path to the cube
"""
return os.path.join(self.cube_path, self.cube)
# TODO temporary function
def get_tuples(self, query, start=None, stop=None):
"""
get all tuples in the mdx query
example:
SELECT {[Geography].[Geography].[All Continent].Members,
[Geography].[Geography].[Continent].[Europe]
} ON COLUMNS,
{[Product].[Product].[Company]
} ON ROWS
FROM {sales}
It returns [ ['Geography','Geography','Continent'],
['Geography','Geography','Continent','Europe'],
['Product','Product','Company']
]
:param query: mdx query
:param start: key-word in the query where we start (examples start = SELECT)
:param stop: key-word in the query where we stop (examples start = ON ROWS)
:return: nested list of tuples (see the example)
"""
# french characters
# or use new regex 2017.02.08
......@@ -366,7 +402,7 @@ class MdxEngine:
if stop is not None:
stop = query.index(stop)
# clean the query (from All, Members...)
# clean the query (remove All, Members...)
return [[
tup_att.replace('All ', '').replace('[', "").replace("]", "")
for tup_att in tup[0].replace('.Members', '').split('.')
......@@ -378,9 +414,10 @@ class MdxEngine:
# TODO temporary function
def decorticate_query(self, query):
"""
get all tuples that exists in the MDX Query
get all tuples that exists in the MDX Query by axes
:param query: MDX Query
:return: all tuples in the query
:return: dict of axis as key and tuples as value
"""
tuples_on_mdx_query = self.get_tuples(query)
......@@ -388,6 +425,8 @@ class MdxEngine:
on_columns = []
on_where = []
try:
# ON ROWS
if 'ON ROWS' in query:
stop = 'ON ROWS'
......@@ -408,6 +447,9 @@ class MdxEngine:
start = 'FROM'
on_where = self.get_tuples(query, start)
except:
raise SyntaxError('Please check your MDX Query')
return {
'all': tuples_on_mdx_query,
'columns': on_columns,
......@@ -480,7 +522,7 @@ class MdxEngine:
Example :
tuple = ['Geograpy','Geograpy','Continent','Europe','France','olapy']
tuple = ['Geography','Geography','Continent','Europe','France','olapy']
Dataframe_in in =
......@@ -510,12 +552,12 @@ class MdxEngine:
:return: Filtered DataFrame
"""
df = Dataframe_in
# tuple_as_list like ['Geograpy','Geograpy','Continent']
# tuple_as_list like ['Geography','Geography','Continent']
# return df with Continent column non empty
if len(tuple_as_list) == 3:
df = df[(df[tuple_as_list[-1]].notnull())]
# tuple_as_list like['Geograpy', 'Geograpy', 'Continent' , 'America','US']
# tuple_as_list like['Geography', 'Geography', 'Continent' , 'America','US']
# execute : df[(df['Continent'] == 'America')] and
# df[(df['Country'] == 'US')]
elif len(tuple_as_list) > 3:
......@@ -687,7 +729,6 @@ class MdxEngine:
(table, columns)
for table, columns in tables_n_columns['all'].items()
if table != self.facts)
# if we have measures on axes we have to ignore them
tuples_on_mdx_query = [
tup for tup in query_axes['all'] if tup[0].upper() != 'MEASURES'
......
......@@ -8,7 +8,7 @@ from .gen_parser.models import selectStatement
class MdxParser:
"""
this class parse the mdx query and split it into well-defined parts
parse the mdx query and split it into well-defined parts
"""
START = 'MDX_statement'
......
......@@ -8,15 +8,31 @@ from .models import Cube, Dimension, Facts
class ConfigParser:
"""
Parse olapy config files
"""
def __init__(self, cube_path, file_name='cubes-config.xml'):
"""
:param cube_path: path to cube (csv folders)
:param file_name: config file name (DEFAULT = cubes-config.xml)
"""
self.cube_path = cube_path
self.file_name = file_name
def config_file_exist(self):
"""
check whether the config file exists or not
:return: True | False
"""
return os.path.isfile(os.path.join(self.cube_path, self.file_name))
def xmla_authentication(self):
"""
check if excel need authentication to access cubes or not. (xmla_authentication tag in the config file)
:return: True | False
"""
with open(os.path.join(self.cube_path, self.file_name)) as config_file:
......@@ -30,6 +46,11 @@ class ConfigParser:
return False
def get_cubes_names(self):
"""
get all cubes names in the config file
:return: dict of cube name as key and cube source as value (csv or postgres) (right now only postgres is supported)
"""
with open(os.path.join(self.cube_path, self.file_name)) as config_file:
......@@ -45,6 +66,11 @@ class ConfigParser:
raise ('missed name or source tags')
def construct_cubes(self):
"""
construct cube (with it dimensions) and facts from the config file
:return: list of Cubes instance
"""
if self.config_file_exist():
try:
with open(os.path.join(self.cube_path,
......
......@@ -2,6 +2,9 @@ import psycopg2 as pg
class MyDB(object):
"""
Connect to sql database (postgres only right now)
"""
def __init__(self,
username='postgres',
......
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