493 lines
18 KiB
Python
493 lines
18 KiB
Python
#!/usr/bin/env python
|
|
"""
|
|
Client library to communicate with a Refine server.
|
|
"""
|
|
|
|
import csv
|
|
import json
|
|
import gzip
|
|
import os
|
|
import re
|
|
import StringIO
|
|
import urllib
|
|
import urllib2_file
|
|
import urllib2
|
|
import urlparse
|
|
|
|
|
|
REFINE_HOST = os.environ.get('GOOGLE_REFINE_HOST', '127.0.0.1')
|
|
REFINE_PORT = os.environ.get('GOOGLE_REFINE_PORT', '3333')
|
|
|
|
|
|
def to_camel(attr):
|
|
"""convert this_attr_name to thisAttrName."""
|
|
# Do lower case first letter
|
|
return (attr[0].lower() +
|
|
re.sub(r'_(.)', lambda x: x.group(1).upper(), attr[1:]))
|
|
|
|
def from_camel(attr):
|
|
"""convert thisAttrName to this_attr_name."""
|
|
# Don't add an underscore for capitalized first letter
|
|
return re.sub(r'(?<=.)([A-Z])', lambda x: '_' + x.group(1), attr).lower()
|
|
|
|
|
|
class Facet(object):
|
|
def __init__(self, column, type, expression='value',
|
|
**options):
|
|
self.type = type
|
|
self.column_name = column
|
|
self.name = column # XXX not sure what the difference is yet
|
|
self.expression = expression
|
|
for k, v in options.items():
|
|
setattr(self, k, v)
|
|
|
|
def as_dict(self):
|
|
return dict([(to_camel(k), v) for k, v in self.__dict__.items()
|
|
if v is not None])
|
|
|
|
|
|
class TextFacet(Facet):
|
|
def __init__(self, column, selection=None, omit_blank=False, omit_error=False, select_blank=False, select_error=False, invert=False, **options):
|
|
super(TextFacet, self).__init__(
|
|
column,
|
|
type='list',
|
|
omit_blank=omit_blank,
|
|
omit_error=omit_error,
|
|
select_blank=select_blank,
|
|
select_error=select_error,
|
|
invert=invert,
|
|
**options)
|
|
self.selection = []
|
|
if selection is None:
|
|
selection = []
|
|
elif not isinstance(selection, list):
|
|
selection = [selection]
|
|
for value in selection:
|
|
self.include(value)
|
|
|
|
def include(self, value):
|
|
for s in self.selection:
|
|
if s['v']['v'] == value:
|
|
return
|
|
self.selection.append({'v': {'v': value, 'l': value}})
|
|
|
|
def exclude(self, value):
|
|
self.selection = [s for s in self.selection
|
|
if s['v']['v'] != value]
|
|
|
|
def reset(self):
|
|
self.selection = []
|
|
|
|
|
|
class StarredFacet(TextFacet):
|
|
def __init__(self, selection=None):
|
|
if selection is not None and not isinstance(selection, bool):
|
|
raise ValueError('selection must be True or False.')
|
|
super(StarredFacet, self).__init__('',
|
|
expression='row.starred', selection=selection)
|
|
|
|
|
|
class FlaggedFacet(TextFacet):
|
|
def __init__(self, selection=None):
|
|
if selection is not None and not isinstance(selection, bool):
|
|
raise ValueError('selection must be True or False.')
|
|
super(FlaggedFacet, self).__init__('',
|
|
expression='row.flagged', selection=selection)
|
|
|
|
|
|
# Capitalize 'From' to get around python's reserved word.
|
|
class NumericFacet(Facet):
|
|
def __init__(self, column, From=None, to=None, select_blank=True, select_error=True, select_non_numeric=True, select_numeric=True, **options):
|
|
super(NumericFacet, self).__init__(
|
|
column,
|
|
type='range',
|
|
select_blank=select_blank,
|
|
select_error=select_error,
|
|
select_non_numeric=select_non_numeric,
|
|
select_numeric=select_numeric,
|
|
From=From,
|
|
to=to,
|
|
**options)
|
|
|
|
|
|
class FacetResponse(object):
|
|
def __init__(self, facet):
|
|
for k, v in facet.items():
|
|
if isinstance(k, bool) or isinstance(k, basestring):
|
|
setattr(self, from_camel(k), v)
|
|
self.choices = {}
|
|
class FacetChoice(object):
|
|
def __init__(self, c):
|
|
self.count = c['c']
|
|
self.selected = c['s']
|
|
|
|
if 'choices' in facet:
|
|
for choice in facet['choices']:
|
|
self.choices[choice['v']['v']] = FacetChoice(choice)
|
|
if 'blankChoice' in facet:
|
|
self.blank_choice = FacetChoice(facet['blankChoice'])
|
|
else:
|
|
self.blank_choice = None
|
|
if 'bins' in facet:
|
|
self.bins = facet['bins']
|
|
self.base_bins = facet['baseBins']
|
|
|
|
|
|
class FacetsResponse(object):
|
|
def __init__(self, facets):
|
|
self.facets = [FacetResponse(f) for f in facets['facets']]
|
|
self.mode = facets['mode']
|
|
|
|
|
|
class Engine(object):
|
|
def __init__(self, facets=None, mode='row-based'):
|
|
if facets is None:
|
|
facets = []
|
|
elif not isinstance(facets, list):
|
|
facets = [facets]
|
|
self.facets = facets
|
|
self.mode = mode
|
|
|
|
def as_dict(self):
|
|
return {
|
|
'facets': [f.as_dict() for f in self.facets], # XXX how with json?
|
|
'mode': self.mode,
|
|
}
|
|
|
|
def __len__(self):
|
|
return len(self.facets)
|
|
|
|
def as_json(self):
|
|
return json.dumps(self.as_dict())
|
|
|
|
def add_facet(self, facet):
|
|
self.facets.append(facet)
|
|
|
|
def remove_all(self):
|
|
self.facets = []
|
|
|
|
def reset_all(self):
|
|
for facet in self.facets:
|
|
facet.reset()
|
|
|
|
|
|
class RefineServer(object):
|
|
"""Communicate with a Refine server."""
|
|
|
|
def __init__(self, server='http://%s:%s' % (REFINE_HOST, REFINE_PORT)):
|
|
self.server = server[:-1] if server.endswith('/') else server
|
|
|
|
def urlopen(self, command, data=None, project_id=None):
|
|
"""Open a Refine URL and optionally POST data."""
|
|
url = self.server + '/command/core/' + command
|
|
if data is None:
|
|
data = {}
|
|
if project_id:
|
|
# XXX haven't figured out pattern on qs v body
|
|
if 'delete' in command:
|
|
data['project'] = project_id
|
|
else:
|
|
url += '?project=' + project_id
|
|
req = urllib2.Request(url)
|
|
if data:
|
|
req.add_data(data) # data = urllib.urlencode(data)
|
|
#req.add_header('Accept-Encoding', 'gzip')
|
|
response = urllib2.urlopen(req)
|
|
if response.info().get('Content-Encoding', None) == 'gzip':
|
|
# Need a seekable filestream for gzip
|
|
gzip_fp = gzip.GzipFile(fileobj=StringIO.StringIO(response.read()))
|
|
# XXX Monkey patch response's filehandle. Better way?
|
|
urllib.addbase.__init__(response, gzip_fp)
|
|
return response
|
|
|
|
def urlopen_json(self, *args, **kwargs):
|
|
"""Open a Refine URL, optionally POST data, and return parsed JSON."""
|
|
response = json.loads(self.urlopen(*args, **kwargs).read())
|
|
if 'code' in response and response['code'] != 'ok':
|
|
raise Exception(
|
|
response['code'] + ': ' +
|
|
response.get('message', response.get('stack', response)))
|
|
return response
|
|
|
|
|
|
class Refine:
|
|
"""Class representing a connection to a Refine server."""
|
|
def __init__(self, server, **kwargs):
|
|
if isinstance(server, RefineServer):
|
|
self.server = server
|
|
else:
|
|
self.server = RefineServer(server)
|
|
|
|
def get_version(self):
|
|
"""Return version data.
|
|
|
|
{"revision":"r1836","full_version":"2.0 [r1836]",
|
|
"full_name":"Google Refine 2.0 [r1836]","version":"2.0"}"""
|
|
return self.server.urlopen_json('get-version')
|
|
|
|
def list_projects(self):
|
|
"""Return a dict of projects indexed by id & name.
|
|
|
|
{u'1877818633188': {
|
|
'id': u'1877818633188', u'name': u'akg',
|
|
u'modified': u'2011-04-07T12:30:07Z',
|
|
u'created': u'2011-04-07T12:30:07Z'
|
|
},
|
|
{u'akg': { ... } } ...}"""
|
|
projects = self.server.urlopen_json('get-all-project-metadata')['projects']
|
|
# Provide a way for projects to be indexed by name too
|
|
for project_id, metadata in projects.items():
|
|
metadata['id'] = project_id
|
|
projects[metadata['name']] = metadata
|
|
return projects
|
|
|
|
def get_project_id_name(self, project):
|
|
"""Returns (project_id, project_name) given either."""
|
|
projects = self.list_projects()
|
|
# Is the project param an integer? If so treat as an id, else a name.
|
|
if re.match(r'^\d+$', project):
|
|
return project, projects[project]['name']
|
|
else:
|
|
return projects[project]['id'], project
|
|
|
|
def open_project(self, project):
|
|
"""Open a Refine project referred to by id or name."""
|
|
project_id, project_name = self.get_project_id_name(project)
|
|
return RefineProject(self.server, project_id, project_name)
|
|
|
|
def new_project(self, project_file=None, project_url=None, project_name=None,
|
|
split_into_columns=True,
|
|
separator='',
|
|
ignore_initial_non_blank_lines=0,
|
|
header_lines=1, # use 0 if your data has no header
|
|
skip_initial_data_rows=0,
|
|
limit=None, # no more than this number of rows
|
|
guess_value_type=True, # numbers, dates, etc.
|
|
ignore_quotes=False):
|
|
|
|
if (project_file and project_url) or (not project_file and not project_url):
|
|
raise ValueError('One (only) of project_file and project_url must be set')
|
|
def s(opt):
|
|
if isinstance(opt, bool):
|
|
return 'on' if opt else ''
|
|
if opt is None:
|
|
return ''
|
|
return str(opt)
|
|
options = {
|
|
'split-into-columns': s(split_into_columns),
|
|
'separator': s(separator),
|
|
'ignore': s(ignore_initial_non_blank_lines),
|
|
'header-lines': s(header_lines),
|
|
'skip': s(skip_initial_data_rows), 'limit': s(limit),
|
|
'guess-value-type': s(guess_value_type),
|
|
'ignore-quotes': s(ignore_quotes),
|
|
}
|
|
if project_url is not None:
|
|
options['url'] = project_url
|
|
elif project_file is not None:
|
|
options['project-file'] = {
|
|
'fd': open(project_file),
|
|
'filename': project_file,
|
|
}
|
|
if project_name is None:
|
|
# strip extension and directories
|
|
project_name = (project_file or 'New project').rsplit('.', 1)[0]
|
|
project_name = os.path.basename(project_name)
|
|
options['project-name'] = project_name
|
|
response = self.server.urlopen('create-project-from-upload', options)
|
|
# expecting a redirect to the new project containing the id in the url
|
|
url_params = urlparse.parse_qs(urlparse.urlparse(response.geturl()).query)
|
|
if 'project' in url_params:
|
|
project_id = url_params['project'][0]
|
|
return RefineProject(self.server, project_id, project_name)
|
|
else:
|
|
raise Exception('Project not created')
|
|
|
|
|
|
class RowsResponse(object):
|
|
class RefineRows(object):
|
|
class RefineRow(object):
|
|
def __init__(self, row_response):
|
|
self.flagged = row_response['flagged']
|
|
self.starred = row_response['starred']
|
|
self.index = row_response['i']
|
|
self.row = [c['v'] if c else None for c in row_response['cells']]
|
|
|
|
def __init__(self, rows_response):
|
|
self.rows_response = rows_response
|
|
def __iter__(self):
|
|
for row_response in self.rows_response:
|
|
yield self.RefineRow(row_response)
|
|
def __len__(self):
|
|
return len(self.rows_response)
|
|
|
|
def __init__(self, response):
|
|
self.mode = response['mode']
|
|
self.filtered = response['filtered']
|
|
self.start = response['start']
|
|
self.limit = response['limit']
|
|
self.total = response['total']
|
|
self.pool = response['pool'] # {"reconCandidates": {},"recons": {}}
|
|
self.rows = self.RefineRows(response['rows'])
|
|
|
|
|
|
class RefineProject:
|
|
"""A Google Refine project."""
|
|
def __init__(self, server, project_id=None, project_name=None):
|
|
if not isinstance(server, RefineServer):
|
|
url = urlparse.urlparse(server)
|
|
if url.query:
|
|
# Parse out the project ID and create a base server URL
|
|
project_id = url.query[8:] # skip project=
|
|
server = urlparse.urlunparse((url.scheme, url.netloc, '', '', '', ''))
|
|
server = RefineServer(server)
|
|
self.server = server
|
|
if not project_id and not project_name:
|
|
raise Exception('Missing Refine project ID and name; need at least one of those')
|
|
if not project_name or not project_id:
|
|
project_id, project_name = Refine(server).get_project_id_name(
|
|
project_name or project_id)
|
|
self.project_id = project_id
|
|
self.project_name = project_name
|
|
self.columns = [] # columns & column_index filled in by get_models()
|
|
self.column_index = {}
|
|
self.get_models()
|
|
self.engine = Engine()
|
|
|
|
def do_raw(self, command, data):
|
|
"""Issue a command to the server & return a response object."""
|
|
return self.server.urlopen(command, self.project_id, data)
|
|
|
|
def do_json(self, command, data=None, include_engine=True):
|
|
"""Issue a command to the server, parse & return decoded JSON."""
|
|
if include_engine:
|
|
if data is None:
|
|
data = {}
|
|
data['engine'] = self.engine.as_json()
|
|
return self.server.urlopen_json(command, project_id=self.project_id, data=data)
|
|
|
|
def get_models(self):
|
|
"""Fill out column metadata."""
|
|
response = self.do_json('get-models', include_engine=False)
|
|
column_model = response['columnModel']
|
|
columns = column_model['columns']
|
|
# Pre-extend the list in python
|
|
self.columns = [None] * (1 + max(c['cellIndex'] for c in columns))
|
|
for column in columns:
|
|
cell_index, name = column['cellIndex'], column['name']
|
|
self.column_index[name] = cell_index
|
|
self.columns[cell_index] = name
|
|
self.key_column = column_model['keyColumnName']
|
|
# TODO: implement rest
|
|
|
|
def wait_until_idle(self, polling_delay=0.5):
|
|
while True:
|
|
response_json = self.do('get-processes')
|
|
if 'processes' in response_json and len(response_json['processes']) > 0:
|
|
time.sleep(polling_delay)
|
|
else:
|
|
return
|
|
|
|
def apply_operations(self, file_path, wait=True):
|
|
json = open(file_path).read()
|
|
response_json = self.do('apply-operations', {'operations': json})
|
|
if response_json['code'] == 'pending':
|
|
if wait:
|
|
self.wait_until_idle()
|
|
return 'ok'
|
|
return response_json['code'] # can be 'ok' or 'pending'
|
|
|
|
def export(self, export_format='tsv'):
|
|
"""Return a fileobject of a project's data."""
|
|
url = ('export-rows/' + urllib.quote(self.project_name) + '.' +
|
|
export_format)
|
|
return self.do_raw(url, {'format': export_format})
|
|
|
|
def export_rows(self, **kwargs):
|
|
"""Return an iterable of parsed rows of a project's data."""
|
|
return csv.reader(self.export(**kwargs), dialect='excel-tab')
|
|
|
|
def delete(self):
|
|
response_json = self.do_json('delete-project', include_engine=False)
|
|
return 'code' in response_json and response_json['code'] == 'ok'
|
|
|
|
def compute_facets(self, facets=None):
|
|
if facets:
|
|
self.engine = Engine(facets)
|
|
response = self.do_json('compute-facets')
|
|
return FacetsResponse(response)
|
|
|
|
def get_rows(self, facets=None, start=0, limit=10):
|
|
if facets:
|
|
self.engine = Engine(facets)
|
|
response = self.do_json('get-rows', {
|
|
'sorting': "{'criteria': []}", 'start': start, 'limit': limit})
|
|
return RowsResponse(response)
|
|
|
|
def remove_rows(self, facets=None):
|
|
if facets:
|
|
self.engine = Engine(facets)
|
|
return self.do_json('remove-rows')
|
|
|
|
def text_transform(self, column, expression, on_error='set-to-blank',
|
|
repeat=False, repeat_count=10):
|
|
response = self.do_json('text-transform', {
|
|
'columnName': column, 'expression': expression,
|
|
'onError': on_error, 'repeat': repeat,
|
|
'repeatCount': repeat_count})
|
|
return response
|
|
|
|
def edit(self, column, edit_from, edit_to):
|
|
edits = [{'from': [edit_from], 'to': edit_to}]
|
|
return self.mass_edit(column, edits)
|
|
|
|
def mass_edit(self, column, edits, expression='value'):
|
|
"""edits is [{'from': ['foo'], 'to': 'bar'}, {...}]"""
|
|
edits = json.dumps(edits)
|
|
response = self.do_json('mass-edit', {
|
|
'columnName': column, 'expression': expression, 'edits': edits})
|
|
return response
|
|
|
|
clusterer_defaults = {
|
|
'binning': {
|
|
'type': 'binning',
|
|
'function': 'fingerprint',
|
|
'params': {},
|
|
},
|
|
'knn': {
|
|
'type': 'knn',
|
|
'function': 'levenshtein',
|
|
'params': {
|
|
'radius': 1,
|
|
'blocking-ngram-size': 6,
|
|
},
|
|
},
|
|
}
|
|
def compute_clusters(self, column, clusterer_type='binning',
|
|
function=None, params=None):
|
|
"""Returns a list of clusters of {'value': ..., 'count': ...}."""
|
|
clusterer = self.clusterer_defaults[clusterer_type]
|
|
if params is not None:
|
|
clusterer['params'] = params
|
|
if function is not None:
|
|
clusterer['function'] = function
|
|
clusterer['column'] = column
|
|
response = self.do_json('compute-clusters', {
|
|
'clusterer': json.dumps(clusterer)})
|
|
return [[{'value': x['v'], 'count': x['c']} for x in cluster]
|
|
for cluster in response]
|
|
|
|
def annotate_one_row(self, row, annotation, state=True):
|
|
if annotation not in ('starred', 'flagged'):
|
|
raise ValueError('annotation must be one of starred or flagged')
|
|
state = 'true' if state == True else 'false'
|
|
return self.do_json('annotate-one-row', {'row': row.index,
|
|
annotation: state})
|
|
|
|
def flag_row(self, row, flagged=True):
|
|
return self.annotate_one_row(row, 'flagged', flagged)
|
|
|
|
def star_row(self, row, starred=True):
|
|
return self.annotate_one_row(row, 'starred', starred)
|
|
|