diff data_source.py @ 1:7e66353ca9d0 draft default tip

Deleted selected files

--- a/data_source.py	Thu Oct 06 12:39:30 2016 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,113 +0,0 @@
-#!/usr/bin/env python
-# Retrieves data from external data source applications and stores in a dataset file.
-# Data source application parameters are temporarily stored in the dataset file.
-import socket, urllib, sys, os
-from galaxy import eggs #eggs needs to be imported so that galaxy.util can find docutils egg...
-from json import loads, dumps
-from galaxy.util import get_charset_from_http_headers
-import galaxy.model # need to import model before sniff to resolve a circular import dependency
-from galaxy.datatypes import sniff
-from galaxy.datatypes.registry import Registry
-from galaxy.jobs import TOOL_PROVIDED_JOB_METADATA_FILE
-
-assert sys.version_info[:2] >= ( 2, 4 )
-
-def stop_err( msg ):
-    sys.stderr.write( msg )
-    sys.exit()
-
-GALAXY_PARAM_PREFIX = 'GALAXY'
-GALAXY_ROOT_DIR = os.path.realpath( os.path.join( os.path.split( os.path.realpath( __file__ ) )[0], '..', '..' ) )
-GALAXY_DATATYPES_CONF_FILE = os.path.join( GALAXY_ROOT_DIR, 'datatypes_conf.xml' )
-
-def load_input_parameters( filename, erase_file = True ):
-    datasource_params = {}
-    try:
-        json_params = loads( open( filename, 'r' ).read() )
-        datasource_params = json_params.get( 'param_dict' )
-    except:
-        json_params = None
-        for line in open( filename, 'r' ):
-            try:
-                line = line.strip()
-                fields = line.split( '\t' )
-                datasource_params[ fields[0] ] = fields[1]
-            except:
-                continue
-    if erase_file:
-        open( filename, 'w' ).close() #open file for writing, then close, removes params from file
-    return json_params, datasource_params
-
-def __main__():
-    filename = sys.argv[1]
-    try:
-        max_file_size = int( sys.argv[2] )
-    except:
-        max_file_size = 0
-
-    job_params, params = load_input_parameters( filename )
-
-    if job_params is None: #using an older tabular file
-        enhanced_handling = False
-        job_params = dict( param_dict = params )
-        job_params[ 'output_data' ] =  [ dict( out_data_name = 'output',
-                                               ext = 'data',
-                                               file_name = filename,
-                                               extra_files_path = None ) ]
-        job_params[ 'job_config' ] = dict( GALAXY_ROOT_DIR=GALAXY_ROOT_DIR, GALAXY_DATATYPES_CONF_FILE=GALAXY_DATATYPES_CONF_FILE, TOOL_PROVIDED_JOB_METADATA_FILE = TOOL_PROVIDED_JOB_METADATA_FILE )
-    else:
-        enhanced_handling = True
-        json_file = open( job_params[ 'job_config' ][ 'TOOL_PROVIDED_JOB_METADATA_FILE' ], 'w' ) #specially named file for output junk to pass onto set metadata
-
-    datatypes_registry = Registry()
-    datatypes_registry.load_datatypes( root_dir = job_params[ 'job_config' ][ 'GALAXY_ROOT_DIR' ], config = job_params[ 'job_config' ][ 'GALAXY_DATATYPES_CONF_FILE' ] )
-
-    URL = params.get( 'URL', None ) #using exactly URL indicates that only one dataset is being downloaded
-    URL_method = params.get( 'URL_method', None )
-
-    # The Python support for fetching resources from the web is layered. urllib uses the httplib
-    # library, which in turn uses the socket library.  As of Python 2.3 you can specify how long
-    # a socket should wait for a response before timing out. By default the socket module has no
-    # timeout and can hang. Currently, the socket timeout is not exposed at the httplib or urllib2
-    # levels. However, you can set the default timeout ( in seconds ) globally for all sockets by
-    # doing the following.
-    socket.setdefaulttimeout( 600 )
-
-    for data_dict in job_params[ 'output_data' ]:
-        cur_filename =  data_dict.get( 'file_name', filename )
-        cur_URL =  params.get( '%s|%s|URL' % ( GALAXY_PARAM_PREFIX, data_dict[ 'out_data_name' ] ), URL )
-        if not cur_URL:
-            open( cur_filename, 'w' ).write( "" )
-            stop_err( 'The remote data source application has not sent back a URL parameter in the request.' )
-
-        # The following calls to urllib.urlopen() will use the above default timeout
-        try:
-            if not URL_method or URL_method == 'get':
-                page = urllib.urlopen( cur_URL )
-            elif URL_method == 'post':
-                page = urllib.urlopen( cur_URL, urllib.urlencode( params ) )
-        except Exception, e:
-            stop_err( 'The remote data source application may be off line, please try again later. Error: %s' % str( e ) )
-        if max_file_size:
-            file_size = int( page.info().get( 'Content-Length', 0 ) )
-            if file_size > max_file_size:
-                stop_err( 'The size of the data (%d bytes) you have requested exceeds the maximum allowed (%d bytes) on this server.' % ( file_size, max_file_size ) )
-        #do sniff stream for multi_byte
-        try:
-            cur_filename, is_multi_byte = sniff.stream_to_open_named_file( page, os.open( cur_filename, os.O_WRONLY | os.O_CREAT ), cur_filename, source_encoding=get_charset_from_http_headers( page.headers ) )
-        except Exception, e:
-            stop_err( 'Unable to fetch %s:\n%s' % ( cur_URL, e ) )
-
-        #here import checks that upload tool performs
-        if enhanced_handling:
-            try:
-                ext = sniff.handle_uploaded_dataset_file( filename, datatypes_registry, ext = data_dict[ 'ext' ], is_multi_byte = is_multi_byte )
-            except Exception, e:
-                stop_err( str( e ) )
-            info = dict( type = 'dataset',
-                         dataset_id = data_dict[ 'dataset_id' ],
-                         ext = ext)
-
-            json_file.write( "%s\n" % dumps( info ) )
-
-if __name__ == "__main__": __main__()