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nexedi
olapy
Commits
4c6213bb
Commit
4c6213bb
authored
May 05, 2017
by
mouadh
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Avoid using the `global` statement
parent
8ea41cf9
Changes
1
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1 changed file
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43 additions
and
44 deletions
+43
-44
olapy/web/views.py
olapy/web/views.py
+43
-44
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olapy/web/views.py
View file @
4c6213bb
...
...
@@ -22,21 +22,22 @@ from ..web.stats_utils import Graphs
from
.forms
import
LoginForm
,
QueryForm
from
.models
import
User
# in pandas there is a problem with conversion multiindex dataframe to json
# to solve the export to excel problem we used a global variable
# TODO remove this , ( right know this is just a demo with sales cube )
CUBE
=
'sales'
frame
=
pd
.
DataFrame
()
ex
=
MdxEngine
(
CUBE
)
log
=
Logs
(
'all'
)
log_users
=
Logs
(
'users'
)
log_mdx
=
Logs
(
'mdx'
)
class
Nod
:
"""Class for maintaining dimensions hierarchies."""
# in pandas there is a problem with conversion multiindex dataframe to json
# to solve the export to excel problem we used a global variable
# TODO remove this , ( right know this is just a demo with sales cube )
CUBE
=
'sales'
frame
=
pd
.
DataFrame
()
ex
=
MdxEngine
(
CUBE
)
log
=
Logs
(
'all'
)
log_users
=
Logs
(
'users'
)
log_mdx
=
Logs
(
'mdx'
)
def
__init__
(
self
,
text
,
id
,
parent
):
self
.
text
=
text
self
.
id
=
id
...
...
@@ -55,9 +56,9 @@ def generate_tree_levels():
:return: dict of levels
"""
levels
=
{}
for
t
in
ex
.
tables_names
:
if
t
!=
ex
.
facts
:
df
=
ex
.
tables_loaded
[
t
]
for
t
in
Nod
.
ex
.
tables_names
:
if
t
!=
Nod
.
ex
.
facts
:
df
=
Nod
.
ex
.
tables_loaded
[
t
]
tree
=
Tree
()
tree
.
create_node
(
t
,
t
,
data
=
t
)
...
...
@@ -115,8 +116,8 @@ def login():
if
user
is
not
None
and
user
.
check_password
(
form
.
password
.
data
):
login_user
(
user
,
form
.
remember_me
.
data
)
# next to hold the the page that the user tries to visite
log
.
write_log
(
'connected as '
+
str
(
current_user
.
username
))
log_users
.
write_log
(
'connected as '
+
str
(
current_user
.
username
))
Nod
.
log
.
write_log
(
'connected as '
+
str
(
current_user
.
username
))
Nod
.
log_users
.
write_log
(
'connected as '
+
str
(
current_user
.
username
))
return
redirect
(
request
.
args
.
get
(
'next'
)
or
url_for
(
'execute'
,
user
=
current_user
))
...
...
@@ -126,8 +127,8 @@ def login():
@
app
.
route
(
'/logout'
)
def
logout
():
log
.
write_log
(
'logout as '
+
str
(
current_user
.
username
))
log_users
.
write_log
(
'logout as '
+
str
(
current_user
.
username
))
Nod
.
log
.
write_log
(
'logout as '
+
str
(
current_user
.
username
))
Nod
.
log_users
.
write_log
(
'logout as '
+
str
(
current_user
.
username
))
logout_user
()
return
redirect
(
url_for
(
'login'
))
...
...
@@ -140,8 +141,8 @@ def execute():
# if we have a slow page load we have to com the line below
lvls
=
generate_tree_levels
()
nods
=
{}
for
t
in
ex
.
tables_names
:
if
t
!=
ex
.
facts
:
for
t
in
Nod
.
ex
.
tables_names
:
if
t
!=
Nod
.
ex
.
facts
:
l_nods
=
[]
for
node
in
lvls
[
t
].
expand_tree
(
mode
=
Tree
.
DEPTH
):
if
lvls
[
t
][
node
].
fpointer
:
...
...
@@ -156,18 +157,17 @@ def execute():
if
form
.
validate_on_submit
():
query
=
form
.
mdx
.
data
log
.
write_log
(
'Query : '
+
str
(
query
))
log_mdx
.
write_log
(
'Query : '
+
str
(
query
))
ex
.
mdx_query
=
query
rslt
=
ex
.
execute_mdx
()[
'result'
]
log
.
write_log
(
'Query result : '
+
str
(
rslt
))
log_mdx
.
write_log
(
'Query result : '
+
str
(
rslt
))
Nod
.
log
.
write_log
(
'Query : '
+
str
(
query
))
Nod
.
log_mdx
.
write_log
(
'Query : '
+
str
(
query
))
Nod
.
ex
.
mdx_query
=
query
rslt
=
Nod
.
ex
.
execute_mdx
()[
'result'
]
Nod
.
log
.
write_log
(
'Query result : '
+
str
(
rslt
))
Nod
.
log_mdx
.
write_log
(
'Query result : '
+
str
(
rslt
))
# we used a global variable which will contain the dataframe execution result
# because pandas current version has problem converting multiindex
# dataframe to json format
global
frame
frame
=
rslt
Nod
.
frame
=
rslt
if
isinstance
(
rslt
,
DataFrame
):
t_rslt
=
rslt
.
to_html
(
...
...
@@ -181,28 +181,28 @@ def execute():
user
=
current_user
,
form
=
form
,
t_result
=
t_rslt
,
tables
=
ex
.
tables_loaded
,
cube
=
CUBE
,
measures
=
ex
.
measures
,
tables
=
Nod
.
ex
.
tables_loaded
,
cube
=
Nod
.
CUBE
,
measures
=
Nod
.
ex
.
measures
,
hierarchies
=
nods
)
return
render_template
(
'execute_query.html'
,
user
=
current_user
,
form
=
form
,
tables
=
ex
.
tables_loaded
,
cube
=
CUBE
,
measures
=
ex
.
measures
,
tables
=
Nod
.
ex
.
tables_loaded
,
cube
=
Nod
.
CUBE
,
measures
=
Nod
.
ex
.
measures
,
hierarchies
=
nods
)
@
app
.
route
(
'/export'
,
methods
=
[
'GET'
,
'POST'
])
@
login_required
def
export
():
if
not
frame
.
empty
:
df
=
pd
.
DataFrame
(
frame
)
log
.
write_log
(
'Export : '
+
str
(
df
))
log_mdx
.
write_log
(
'Export : '
+
str
(
df
))
if
not
Nod
.
frame
.
empty
:
df
=
pd
.
DataFrame
(
Nod
.
frame
)
Nod
.
log
.
write_log
(
'Export : '
+
str
(
df
))
Nod
.
log_mdx
.
write_log
(
'Export : '
+
str
(
df
))
output
=
BytesIO
()
writer
=
pd
.
ExcelWriter
(
output
,
engine
=
'xlsxwriter'
)
df
.
to_excel
(
writer
,
sheet_name
=
'Sheet1'
)
...
...
@@ -225,16 +225,16 @@ def export():
@
app
.
route
(
'/export/<type>'
,
methods
=
[
'GET'
,
'POST'
])
@
login_required
def
export_file
(
type
):
if
log
.
root_path
:
if
Nod
.
log
.
root_path
:
return
send_file
(
os
.
path
.
join
(
log
.
root_path
,
type
+
'.log'
),
as_attachment
=
True
)
os
.
path
.
join
(
Nod
.
log
.
root_path
,
type
+
'.log'
),
as_attachment
=
True
)
return
redirect
(
'/execute'
)
@
app
.
route
(
'/stats'
,
methods
=
[
'GET'
,
'POST'
])
@
login_required
def
stats
():
ex
=
MdxEngine
(
CUBE
)
ex
=
MdxEngine
(
Nod
.
CUBE
)
graph
=
Graphs
()
columns
=
list
(
...
...
@@ -245,8 +245,7 @@ def stats():
temp_rslt
=
ex
.
load_star_schema_dataframe
[
columns
].
head
(
200
)
# so we can export it to excel
global
frame
frame
=
ex
.
load_star_schema_dataframe
[
columns
]
Nod
.
frame
=
ex
.
load_star_schema_dataframe
[
columns
]
graph
=
graph
.
generate_graphes
(
temp_rslt
)
return
render_template
(
...
...
@@ -267,7 +266,7 @@ def logs():
@
app
.
route
(
'/query_builder'
,
methods
=
[
'GET'
,
'POST'
])
@
login_required
def
query_builder
():
df
=
ex
.
load_star_schema_dataframe
df
=
Nod
.
ex
.
load_star_schema_dataframe
if
not
df
.
empty
:
pivot_ui
(
df
,
...
...
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