diff baric_archive.py @ 0:1ae6b80f1e03 draft default tip

"planemo upload for repository https://github.com/genouest/galaxy-tools/tree/master/tools/baric_archive commit 6419e960f00c0e1c3950bad500487d3681797b40"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/baric_archive.py	Fri Mar 04 11:16:34 2022 +0000
@@ -0,0 +1,139 @@
+#!/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 os
+import socket
+import sys
+import urllib
+from json import dumps, loads
+from urllib.parse import urlparse
+from urllib.request import urlopen
+
+from galaxy.datatypes import sniff
+from galaxy.datatypes.registry import Registry
+from galaxy.jobs import TOOL_PROVIDED_JOB_METADATA_FILE
+from galaxy.util import get_charset_from_http_headers
+
+GALAXY_PARAM_PREFIX = 'GALAXY'
+GALAXY_ROOT_DIR = os.path.realpath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir))
+GALAXY_DATATYPES_CONF_FILE = os.path.join(GALAXY_ROOT_DIR, 'datatypes_conf.xml')
+
+
+def stop_err(msg, json_file=None):
+    sys.stderr.write(msg)
+    # Need to write valid (but empty) json to avoid metadata collection failure
+    # leading to "unable to finish job" error with no logs
+    if json_file is not None:
+        json_file.write("%s\n" % dumps({}))
+    sys.exit(1)
+
+
+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 Exception:
+        json_params = None
+        for line in open(filename, 'r'):
+            try:
+                line = line.strip()
+                fields = line.split('\t')
+                datasource_params[fields[0]] = fields[1]
+            except Exception:
+                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]
+
+    user_email = sys.argv[2]
+    user_id = sys.argv[3]
+
+    try:
+        max_file_size = int(sys.argv[4])
+    except Exception:
+        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='auto',
+                                          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
+    export = params.get('export', None)
+    userkey = params.get('userkey', 'none')
+    URL_method = params.get('URL_method', None)
+
+    URL = URL + "&userkey=" + userkey + "&user_email=" + user_email + "&user_id=" + user_id
+
+    # 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 or urlparse(cur_URL).scheme not in ('http', 'https', 'ftp'):
+            open(cur_filename, 'w').write("")
+            stop_err('The remote data source application has not sent back a URL parameter in the request.', json_file)
+
+        # The following calls to urlopen() will use the above default timeout
+        try:
+            if not URL_method or URL_method == 'get':
+                page = urlopen(cur_URL)
+            elif URL_method == 'post':
+                page = urlopen(cur_URL, urllib.parse.urlencode(params).encode("utf-8"))
+        except Exception as e:
+            stop_err('The remote data source application may be off line, please try again later. Error: %s' % str(e), json_file)
+        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), json_file)
+        # handle files available locally
+        if export:
+            try:
+                local_file = export + page.read()
+                os.remove(cur_filename)
+                os.symlink(local_file, cur_filename)
+            except Exception as e:
+                stop_err('Unable to symlink %s to %s:\n%s' % (local_file, cur_filename, e), json_file)
+        else:
+            try:
+                cur_filename = 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 as e:
+                stop_err('Unable to fetch %s:\n%s' % (cur_URL, e), json_file)
+
+        # here import checks that upload tool performs
+        if enhanced_handling:
+            try:
+                ext = sniff.handle_uploaded_dataset_file(filename, datatypes_registry, ext=data_dict['ext'])
+            except Exception as e:
+                stop_err(str(e), json_file)
+            info = dict(type='dataset',
+                        dataset_id=data_dict['dataset_id'],
+                        ext=ext)
+
+            json_file.write("%s\n" % dumps(info))
+
+
+if __name__ == "__main__":
+    __main__()