openrefine-client/google/refine.py

303 lines
11 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')
class Facet(object):
def __init__(self, column, expression='value', omit_blank=False, omit_error=False, select_blank=False, select_error=False, invert=False):
self.column = column
self.name = column # XXX not sure what the difference is yet
self.expression = expression
self.invert = invert
self.omit_blank = omit_blank
self.omit_error = omit_error
self.select_blank = select_blank
self.select_error = select_error
def as_dict(self):
return {
'type': 'list',
'name': self.column,
'columnName': self.column,
'expression': self.expression,
'selection': [], # XXX what is this?
'omitBlank': self.omit_blank,
'omitError': self.omit_error,
'selectBlank': self.select_blank,
'selectError': self.select_error,
'invert': self.invert,
}
class FacetResponse(object):
def __init__(self, facet):
self.name = facet['name']
self.column = self.name
self.expression = facet['expression']
self.invert = facet['invert']
self.choices = {}
class FacetChoice(object):
def __init__(self, c):
self.count = c['c']
self.selected = c['s']
for choice in facet['choices']:
self.choices[choice['v']['v']] = FacetChoice(choice)
self.blank_choice = FacetChoice(facet['blankChoice'])
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 as_json(self):
return json.dumps(self.as_dict())
def add_facet(self, facet):
self.facets.append(facet)
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:
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 = self.urlopen(*args, **kwargs)
data = response.read()
response_json = json.loads(data)
if 'code' in response_json and response_json['code'] == 'error':
raise Exception(response_json['message'])
return response_json
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 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()
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):
"""Issue a command to the server, parse & return decoded 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')
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."""
data = {
'engine': Engine().as_json(),
'format': export_format,
}
return self.do_raw(
'export-rows/' + urllib.quote(self.project_name) + '.' + export_format, data)
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')
return 'code' in response_json and response_json['code'] == 'ok'
def text_facet(self, facets=None, engine=None, mode='row-based'):
if not engine:
engine = Engine(facets, mode)
response = self.do_json('compute-facets', {'engine': engine.as_json()})
return FacetsResponse(response)