def test_stats():
table = (('foo', 'bar', 'baz'), ('A', 1, 2), ('B', '2', '3.4'),
(u'B', u'3', u'7.8', True), ('D', 'xyz', 9.0), ('E', None))
result = stats(table, 'bar')
assert result['min'] == 1.0
assert result['max'] == 3.0
assert result['sum'] == 6.0
assert result['count'] == 3
assert result['errors'] == 2
assert result['mean'] == 2.0
def test_stats():
table = (('foo', 'bar', 'baz'),
('A', 1, 2),
('B', '2', '3.4'),
('B', '3', '7.8', True),
('D', 'xyz', 9.0),
('E', None))
result = stats(table, 'bar')
assert result['min'] == 1.0
assert result['max'] == 3.0
assert result['sum'] == 6.0
assert result['count'] == 3
assert result['errors'] == 2
assert result['mean'] == 2.0
def test_stats():
table = (
("foo", "bar", "baz"),
("A", 1, 2),
("B", "2", "3.4"),
(u"B", u"3", u"7.8", True),
("D", "xyz", 9.0),
("E", None),
)
result = stats(table, "bar")
assert result["min"] == 1.0
assert result["max"] == 3.0
assert result["sum"] == 6.0
assert result["count"] == 3
assert result["errors"] == 2
assert result["mean"] == 2.0
def upload_scores(self,
tbl,
config,
url_type,
id_type='vanid',
email=None,
auto_approve=True,
approve_tolerance=.1,
**url_kwargs):
"""
Upload scores. Use to create or overwrite scores. Multiple score loads
should be configured in a single call. [1]_
`Args:`
tbl: object
A parsons.Table object. The table must contain the scores and first column in the
table must contain the primary key (e.g. vanid).
config: list
The score configuration. A list of dictionaries in which you specify the following
.. list-table::
:widths: 20 80
:header-rows: 0
* - ``score_column``
- The name of the column where the score is housed.
* - ``score_id``
- The score slot id.
Example:
.. highlight:: python
.. code-block:: python
[{'score1_id' : int, score1_column': str}
{'score2_id' : int, score2_column': str}]
url_type: str
The cloud file storage to use to post the file (``S3`` or ``GCS``).
See :ref:`Cloud Storage <cloud-storage>` for more details.
email: str
An email address to send job load status updates.
auto_approve: boolean
If the scores are within the expected tolerance of deviation from the
average values provided, then score will be automatically approved.
approve_tolderance: float
The deviation from the average scores allowed in order to automatically
approve the score. Maximum of .1.
**url_kwargs: kwargs
Arguments to configure your cloud storage url type. See
:ref:`Cloud Storage <cloud-storage>` for more details.
`Returns:`
int
The score load job id.
.. [1] NGPVAN asks that you load multiple scores in a single call to reduce the load
on their servers.
"""
# Move to cloud storage
file_name = str(uuid.uuid1())
url = cloud_storage.post_file(tbl,
url_type,
file_path=file_name + '.zip',
**url_kwargs)
logger.info(f'Table uploaded to {url_type}.')
# Generate shell request
json = {
"description": 'A description',
"file": {
"columnDelimiter": 'csv',
"columns": [{
'name': c
} for c in tbl.columns],
"fileName": file_name + '.csv',
"hasHeader": "True",
"hasQuotes": "False",
"sourceUrl": url
},
"actions": []
}
# Configure each score
for i in config:
action = {
"actionType": "score",
"personIdColumn": tbl.columns[0],
"personIdType": id_type,
"scoreColumn": i['score_column'],
"scoreId": i['score_id']
}
if auto_approve:
average = petl.stats(tbl.table, i['score_column']).mean
action['approvalCriteria'] = {
"average": average,
"tolerance": approve_tolerance
}
json['actions'].append(action)
# Add email listener
if email:
json['listeners'] = [{"type": "EMAIL", 'value': email}]
# Upload scores
r = self.connection.post_request('fileLoadingJobs', json=json)
logger.info(f"Scores job {r['jobId']} created.")
return r['jobId']
from __future__ import division, print_function, absolute_import
# limits()
##########
import petl as etl
table = [['foo', 'bar'], ['a', 1], ['b', 2], ['b', 3]]
minv, maxv = etl.limits(table, 'bar')
minv
maxv
# stats()
#########
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 1, 2],
['B', '2', '3.4'],
[u'B', u'3', u'7.8', True],
['D', 'xyz', 9.0],
['E', None]]
etl.stats(table, 'bar')