Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/galaxy/tool_util/cwl/util.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """Client-centric CWL-related utilities. |
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2 |
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3 Used to share code between the Galaxy test framework |
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4 and other Galaxy CWL clients (e.g. Planemo).""" |
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5 import hashlib |
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6 import io |
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7 import json |
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8 import os |
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9 import tarfile |
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10 import tempfile |
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11 from collections import namedtuple |
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12 |
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13 import yaml |
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14 |
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15 from galaxy.util import unicodify |
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16 |
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17 STORE_SECONDARY_FILES_WITH_BASENAME = True |
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18 SECONDARY_FILES_EXTRA_PREFIX = "__secondary_files__" |
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19 SECONDARY_FILES_INDEX_PATH = "__secondary_files_index.json" |
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20 |
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21 |
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22 def set_basename_and_derived_properties(properties, basename): |
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23 properties["basename"] = basename |
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24 properties["nameroot"], properties["nameext"] = os.path.splitext(basename) |
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25 return properties |
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26 |
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27 |
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28 def output_properties(path=None, content=None, basename=None, pseduo_location=False): |
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29 checksum = hashlib.sha1() |
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30 properties = { |
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31 "class": "File", |
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32 } |
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33 if path is not None: |
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34 properties["path"] = path |
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35 f = open(path, "rb") |
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36 else: |
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37 f = io.BytesIO(content) |
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38 |
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39 try: |
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40 contents = f.read(1024 * 1024) |
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41 filesize = 0 |
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42 while contents: |
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43 checksum.update(contents) |
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44 filesize += len(contents) |
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45 contents = f.read(1024 * 1024) |
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46 finally: |
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47 f.close() |
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48 properties["checksum"] = "sha1$%s" % checksum.hexdigest() |
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49 properties["size"] = filesize |
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50 set_basename_and_derived_properties(properties, basename) |
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51 _handle_pseudo_location(properties, pseduo_location) |
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52 return properties |
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53 |
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54 |
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55 def _handle_pseudo_location(properties, pseduo_location): |
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56 if pseduo_location: |
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57 properties["location"] = properties["basename"] |
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58 |
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59 |
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60 def abs_path_or_uri(path_or_uri, relative_to): |
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61 """Return an absolute path if this isn't a URI, otherwise keep the URI the same. |
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62 """ |
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63 is_uri = "://" in path_or_uri |
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64 if not is_uri and not os.path.isabs(path_or_uri): |
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65 path_or_uri = os.path.join(relative_to, path_or_uri) |
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66 if not is_uri: |
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67 _ensure_file_exists(path_or_uri) |
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68 return path_or_uri |
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69 |
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70 |
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71 def abs_path(path_or_uri, relative_to): |
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72 path_or_uri = abs_path_or_uri(path_or_uri, relative_to) |
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73 if path_or_uri.startswith("file://"): |
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74 path_or_uri = path_or_uri[len("file://"):] |
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75 |
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76 return path_or_uri |
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77 |
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78 |
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79 def path_or_uri_to_uri(path_or_uri): |
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80 if "://" not in path_or_uri: |
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81 return "file://%s" % path_or_uri |
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82 else: |
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83 return path_or_uri |
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84 |
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85 |
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86 def galactic_job_json( |
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87 job, test_data_directory, upload_func, collection_create_func, tool_or_workflow="workflow" |
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88 ): |
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89 """Adapt a CWL job object to the Galaxy API. |
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90 |
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91 CWL derived tools in Galaxy can consume a job description sort of like |
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92 CWL job objects via the API but paths need to be replaced with datasets |
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93 and records and arrays with collection references. This function will |
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94 stage files and modify the job description to adapt to these changes |
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95 for Galaxy. |
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96 """ |
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97 |
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98 datasets = [] |
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99 dataset_collections = [] |
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100 |
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101 def response_to_hda(target, upload_response): |
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102 assert isinstance(upload_response, dict), upload_response |
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103 assert "outputs" in upload_response, upload_response |
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104 assert len(upload_response["outputs"]) > 0, upload_response |
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105 dataset = upload_response["outputs"][0] |
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106 datasets.append((dataset, target)) |
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107 dataset_id = dataset["id"] |
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108 return {"src": "hda", "id": dataset_id} |
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109 |
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110 def upload_file(file_path, secondary_files, **kwargs): |
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111 file_path = abs_path_or_uri(file_path, test_data_directory) |
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112 target = FileUploadTarget(file_path, secondary_files, **kwargs) |
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113 upload_response = upload_func(target) |
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114 return response_to_hda(target, upload_response) |
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115 |
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116 def upload_file_literal(contents, **kwd): |
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117 target = FileLiteralTarget(contents, **kwd) |
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118 upload_response = upload_func(target) |
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119 return response_to_hda(target, upload_response) |
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120 |
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121 def upload_tar(file_path): |
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122 file_path = abs_path_or_uri(file_path, test_data_directory) |
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123 target = DirectoryUploadTarget(file_path) |
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124 upload_response = upload_func(target) |
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125 return response_to_hda(target, upload_response) |
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126 |
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127 def upload_file_with_composite_data(file_path, composite_data, **kwargs): |
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128 if file_path is not None: |
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129 file_path = abs_path_or_uri(file_path, test_data_directory) |
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130 composite_data_resolved = [] |
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131 for cd in composite_data: |
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132 composite_data_resolved.append(abs_path_or_uri(cd, test_data_directory)) |
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133 target = FileUploadTarget(file_path, composite_data=composite_data_resolved, **kwargs) |
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134 upload_response = upload_func(target) |
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135 return response_to_hda(target, upload_response) |
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136 |
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137 def upload_object(the_object): |
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138 target = ObjectUploadTarget(the_object) |
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139 upload_response = upload_func(target) |
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140 return response_to_hda(target, upload_response) |
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141 |
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142 def replacement_item(value, force_to_file=False): |
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143 is_dict = isinstance(value, dict) |
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144 item_class = None if not is_dict else value.get("class", None) |
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145 is_file = item_class == "File" |
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146 is_directory = item_class == "Directory" |
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147 is_collection = item_class == "Collection" # Galaxy extension. |
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148 |
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149 if force_to_file: |
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150 if is_file: |
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151 return replacement_file(value) |
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152 else: |
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153 return upload_object(value) |
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154 |
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155 if isinstance(value, list): |
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156 return replacement_list(value) |
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157 elif not isinstance(value, dict): |
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158 if tool_or_workflow == "workflow": |
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159 # All inputs represented as dataset or collection parameters |
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160 return upload_object(value) |
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161 else: |
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162 return value |
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163 |
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164 if is_file: |
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165 return replacement_file(value) |
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166 elif is_directory: |
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167 return replacement_directory(value) |
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168 elif is_collection: |
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169 return replacement_collection(value) |
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170 else: |
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171 return replacement_record(value) |
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172 |
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173 def replacement_file(value): |
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174 if value.get('galaxy_id'): |
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175 return {"src": "hda", "id": value['galaxy_id']} |
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176 file_path = value.get("location", None) or value.get("path", None) |
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177 # format to match output definitions in tool, where did filetype come from? |
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178 filetype = value.get("filetype", None) or value.get("format", None) |
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179 composite_data_raw = value.get("composite_data", None) |
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180 kwd = {} |
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181 if "tags" in value: |
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182 kwd["tags"] = value.get("tags") |
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183 if "dbkey" in value: |
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184 kwd["dbkey"] = value.get("dbkey") |
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185 if composite_data_raw: |
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186 composite_data = [] |
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187 for entry in composite_data_raw: |
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188 path = None |
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189 if isinstance(entry, dict): |
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190 path = entry.get("location", None) or entry.get("path", None) |
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191 else: |
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192 path = entry |
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193 composite_data.append(path) |
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194 rval_c = upload_file_with_composite_data(None, composite_data, filetype=filetype, **kwd) |
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195 return rval_c |
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196 |
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197 if file_path is None: |
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198 contents = value.get("contents", None) |
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199 if contents is not None: |
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200 return upload_file_literal(contents, **kwd) |
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201 |
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202 return value |
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203 |
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204 secondary_files = value.get("secondaryFiles", []) |
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205 secondary_files_tar_path = None |
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206 if secondary_files: |
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207 tmp = tempfile.NamedTemporaryFile(delete=False) |
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208 tf = tarfile.open(fileobj=tmp, mode='w:') |
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209 order = [] |
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210 index_contents = { |
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211 "order": order |
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212 } |
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213 for secondary_file in secondary_files: |
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214 secondary_file_path = secondary_file.get("location", None) or secondary_file.get("path", None) |
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215 assert secondary_file_path, "Invalid secondaryFile entry found [%s]" % secondary_file |
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216 full_secondary_file_path = os.path.join(test_data_directory, secondary_file_path) |
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217 basename = secondary_file.get("basename") or os.path.basename(secondary_file_path) |
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218 order.append(unicodify(basename)) |
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219 tf.add(full_secondary_file_path, os.path.join(SECONDARY_FILES_EXTRA_PREFIX, basename)) |
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220 tmp_index = tempfile.NamedTemporaryFile(delete=False, mode="w") |
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221 json.dump(index_contents, tmp_index) |
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222 tmp_index.close() |
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223 tf.add(tmp_index.name, SECONDARY_FILES_INDEX_PATH) |
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224 tf.close() |
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225 secondary_files_tar_path = tmp.name |
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226 |
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227 return upload_file(file_path, secondary_files_tar_path, filetype=filetype, **kwd) |
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228 |
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229 def replacement_directory(value): |
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230 file_path = value.get("location", None) or value.get("path", None) |
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231 if file_path is None: |
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232 return value |
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233 |
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234 if not os.path.isabs(file_path): |
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235 file_path = os.path.join(test_data_directory, file_path) |
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236 |
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237 tmp = tempfile.NamedTemporaryFile(delete=False) |
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238 tf = tarfile.open(fileobj=tmp, mode='w:') |
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239 tf.add(file_path, '.') |
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240 tf.close() |
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241 |
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242 return upload_tar(tmp.name) |
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243 |
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244 def replacement_list(value): |
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245 collection_element_identifiers = [] |
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246 for i, item in enumerate(value): |
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247 dataset = replacement_item(item, force_to_file=True) |
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248 collection_element = dataset.copy() |
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249 collection_element["name"] = str(i) |
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250 collection_element_identifiers.append(collection_element) |
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251 |
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252 # TODO: handle nested lists/arrays |
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253 collection = collection_create_func(collection_element_identifiers, "list") |
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254 dataset_collections.append(collection) |
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255 hdca_id = collection["id"] |
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256 return {"src": "hdca", "id": hdca_id} |
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257 |
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258 def to_elements(value, rank_collection_type): |
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259 collection_element_identifiers = [] |
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260 assert "elements" in value |
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261 elements = value["elements"] |
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262 |
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263 is_nested_collection = ":" in rank_collection_type |
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264 for element in elements: |
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265 if not is_nested_collection: |
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266 # flat collection |
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267 dataset = replacement_item(element, force_to_file=True) |
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268 collection_element = dataset.copy() |
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269 collection_element["name"] = element["identifier"] |
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270 collection_element_identifiers.append(collection_element) |
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271 else: |
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272 # nested collection |
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273 sub_collection_type = rank_collection_type[rank_collection_type.find(":") + 1:] |
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274 collection_element = { |
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275 "name": element["identifier"], |
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276 "src": "new_collection", |
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277 "collection_type": sub_collection_type, |
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278 "element_identifiers": to_elements(element, sub_collection_type) |
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279 } |
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280 collection_element_identifiers.append(collection_element) |
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281 |
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282 return collection_element_identifiers |
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283 |
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284 def replacement_collection(value): |
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285 if value.get('galaxy_id'): |
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286 return {"src": "hdca", "id": value['galaxy_id']} |
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287 assert "collection_type" in value |
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288 collection_type = value["collection_type"] |
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289 elements = to_elements(value, collection_type) |
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290 |
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291 collection = collection_create_func(elements, collection_type) |
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292 dataset_collections.append(collection) |
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293 hdca_id = collection["id"] |
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294 return {"src": "hdca", "id": hdca_id} |
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295 |
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296 def replacement_record(value): |
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297 collection_element_identifiers = [] |
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298 for record_key, record_value in value.items(): |
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299 if not isinstance(record_value, dict) or record_value.get("class") != "File": |
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300 dataset = replacement_item(record_value, force_to_file=True) |
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301 collection_element = dataset.copy() |
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302 else: |
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303 dataset = upload_file(record_value["location"], []) |
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304 collection_element = dataset.copy() |
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305 |
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306 collection_element["name"] = record_key |
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307 collection_element_identifiers.append(collection_element) |
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308 |
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309 collection = collection_create_func(collection_element_identifiers, "record") |
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310 dataset_collections.append(collection) |
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311 hdca_id = collection["id"] |
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312 return {"src": "hdca", "id": hdca_id} |
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313 |
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314 replace_keys = {} |
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315 for key, value in job.items(): |
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316 replace_keys[key] = replacement_item(value) |
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317 |
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318 job.update(replace_keys) |
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319 return job, datasets |
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320 |
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321 |
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322 def _ensure_file_exists(file_path): |
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323 if not os.path.exists(file_path): |
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324 template = "File [%s] does not exist - parent directory [%s] does %sexist, cwd is [%s]" |
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325 parent_directory = os.path.dirname(file_path) |
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326 message = template % ( |
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327 file_path, |
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328 parent_directory, |
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329 "" if os.path.exists(parent_directory) else "not ", |
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330 os.getcwd(), |
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331 ) |
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332 raise Exception(message) |
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333 |
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334 |
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335 class FileLiteralTarget: |
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336 |
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337 def __init__(self, contents, path=None, **kwargs): |
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338 self.contents = contents |
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339 self.properties = kwargs |
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340 self.path = path |
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341 |
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342 def __str__(self): |
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343 return f"FileLiteralTarget[contents={self.contents}] with {self.properties}" |
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344 |
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345 |
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346 class FileUploadTarget: |
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347 |
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348 def __init__(self, path, secondary_files=None, **kwargs): |
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349 self.path = path |
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350 self.secondary_files = secondary_files |
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351 self.composite_data = kwargs.get("composite_data", []) |
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352 self.properties = kwargs |
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353 |
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354 def __str__(self): |
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355 return f"FileUploadTarget[path={self.path}] with {self.properties}" |
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356 |
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357 |
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358 class ObjectUploadTarget: |
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359 |
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360 def __init__(self, the_object): |
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361 self.object = the_object |
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362 self.properties = {} |
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363 |
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364 def __str__(self): |
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365 return f"ObjectUploadTarget[object={self.object} with {self.properties}]" |
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366 |
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367 |
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368 class DirectoryUploadTarget: |
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369 |
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370 def __init__(self, tar_path): |
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371 self.tar_path = tar_path |
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372 |
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373 def __str__(self): |
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374 return "DirectoryUploadTarget[tar_path=%s]" % self.tar_path |
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375 |
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376 |
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377 GalaxyOutput = namedtuple("GalaxyOutput", ["history_id", "history_content_type", "history_content_id", "metadata"]) |
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378 |
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379 |
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380 def tool_response_to_output(tool_response, history_id, output_id): |
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381 for output in tool_response["outputs"]: |
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382 if output["output_name"] == output_id: |
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383 return GalaxyOutput(history_id, "dataset", output["id"], None) |
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384 |
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385 for output_collection in tool_response["output_collections"]: |
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386 if output_collection["output_name"] == output_id: |
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387 return GalaxyOutput(history_id, "dataset_collection", output_collection["id"], None) |
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388 |
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389 raise Exception("Failed to find output with label [%s]" % output_id) |
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390 |
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391 |
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392 def invocation_to_output(invocation, history_id, output_id): |
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393 if output_id in invocation["outputs"]: |
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394 dataset = invocation["outputs"][output_id] |
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395 galaxy_output = GalaxyOutput(history_id, "dataset", dataset["id"], None) |
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396 elif output_id in invocation["output_collections"]: |
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397 collection = invocation["output_collections"][output_id] |
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398 galaxy_output = GalaxyOutput(history_id, "dataset_collection", collection["id"], None) |
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399 elif output_id in invocation["output_values"]: |
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400 output_value = invocation["output_values"][output_id] |
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401 galaxy_output = GalaxyOutput(None, "raw_value", output_value, None) |
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402 else: |
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403 raise Exception(f"Failed to find output with label [{output_id}] in [{invocation}]") |
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404 |
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405 return galaxy_output |
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406 |
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407 |
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408 def output_to_cwl_json( |
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409 galaxy_output, get_metadata, get_dataset, get_extra_files, pseduo_location=False, |
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410 ): |
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411 """Convert objects in a Galaxy history into a CWL object. |
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412 |
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413 Useful in running conformance tests and implementing the cwl-runner |
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414 interface via Galaxy. |
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415 """ |
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416 def element_to_cwl_json(element): |
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417 object = element["object"] |
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418 content_type = object.get("history_content_type") |
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419 metadata = None |
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420 if content_type is None: |
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421 content_type = "dataset_collection" |
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422 metadata = element["object"] |
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423 metadata["history_content_type"] = content_type |
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424 element_output = GalaxyOutput( |
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425 galaxy_output.history_id, |
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426 content_type, |
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427 object["id"], |
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428 metadata, |
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429 ) |
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430 return output_to_cwl_json(element_output, get_metadata, get_dataset, get_extra_files, pseduo_location=pseduo_location) |
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431 |
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432 output_metadata = galaxy_output.metadata |
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433 if output_metadata is None: |
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434 output_metadata = get_metadata(galaxy_output.history_content_type, galaxy_output.history_content_id) |
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435 |
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436 def dataset_dict_to_json_content(dataset_dict): |
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437 if "content" in dataset_dict: |
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438 return json.loads(dataset_dict["content"]) |
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439 else: |
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440 with open(dataset_dict["path"]) as f: |
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441 return json.safe_load(f) |
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442 |
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443 if galaxy_output.history_content_type == "raw_value": |
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444 return galaxy_output.history_content_id |
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445 elif output_metadata["history_content_type"] == "dataset": |
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446 ext = output_metadata["file_ext"] |
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447 assert output_metadata["state"] == "ok" |
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parents:
diff
changeset
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448 if ext == "expression.json": |
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parents:
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449 dataset_dict = get_dataset(output_metadata) |
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parents:
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changeset
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450 return dataset_dict_to_json_content(dataset_dict) |
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parents:
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|
451 else: |
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452 file_or_directory = "Directory" if ext == "directory" else "File" |
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parents:
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changeset
|
453 secondary_files = [] |
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shellac
parents:
diff
changeset
|
454 |
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shellac
parents:
diff
changeset
|
455 if file_or_directory == "File": |
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parents:
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456 dataset_dict = get_dataset(output_metadata) |
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parents:
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changeset
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457 properties = output_properties(pseduo_location=pseduo_location, **dataset_dict) |
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changeset
|
458 basename = properties["basename"] |
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parents:
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459 extra_files = get_extra_files(output_metadata) |
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parents:
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changeset
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460 found_index = False |
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parents:
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changeset
|
461 for extra_file in extra_files: |
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462 if extra_file["class"] == "File": |
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463 path = extra_file["path"] |
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464 if path == SECONDARY_FILES_INDEX_PATH: |
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465 found_index = True |
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466 |
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467 if found_index: |
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468 ec = get_dataset(output_metadata, filename=SECONDARY_FILES_INDEX_PATH) |
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469 index = dataset_dict_to_json_content(ec) |
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470 |
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471 def dir_listing(dir_path): |
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472 listing = [] |
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473 for extra_file in extra_files: |
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474 path = extra_file["path"] |
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475 extra_file_class = extra_file["class"] |
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476 extra_file_basename = os.path.basename(path) |
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477 if os.path.join(dir_path, extra_file_basename) != path: |
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changeset
|
478 continue |
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shellac
parents:
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changeset
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479 |
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parents:
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changeset
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480 if extra_file_class == "File": |
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481 ec = get_dataset(output_metadata, filename=path) |
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changeset
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482 ec["basename"] = extra_file_basename |
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changeset
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483 ec_properties = output_properties(pseduo_location=pseduo_location, **ec) |
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484 elif extra_file_class == "Directory": |
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changeset
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485 ec_properties = {} |
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changeset
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486 ec_properties["class"] = "Directory" |
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487 ec_properties["location"] = ec_basename |
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changeset
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488 ec_properties["listing"] = dir_listing(path) |
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changeset
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489 else: |
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490 raise Exception("Unknown output type encountered....") |
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491 listing.append(ec_properties) |
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492 return listing |
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parents:
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|
493 |
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parents:
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changeset
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494 for basename in index["order"]: |
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495 for extra_file in extra_files: |
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496 path = extra_file["path"] |
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changeset
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497 if path != os.path.join(SECONDARY_FILES_EXTRA_PREFIX, basename): |
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498 continue |
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parents:
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changeset
|
499 |
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parents:
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changeset
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500 extra_file_class = extra_file["class"] |
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parents:
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501 |
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parents:
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changeset
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502 # This is wrong... |
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shellac
parents:
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changeset
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503 if not STORE_SECONDARY_FILES_WITH_BASENAME: |
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changeset
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504 ec_basename = basename + os.path.basename(path) |
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parents:
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changeset
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505 else: |
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parents:
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changeset
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506 ec_basename = os.path.basename(path) |
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shellac
parents:
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changeset
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507 |
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parents:
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changeset
|
508 if extra_file_class == "File": |
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shellac
parents:
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changeset
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509 ec = get_dataset(output_metadata, filename=path) |
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changeset
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510 ec["basename"] = ec_basename |
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shellac
parents:
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changeset
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511 ec_properties = output_properties(pseduo_location=pseduo_location, **ec) |
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changeset
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512 elif extra_file_class == "Directory": |
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parents:
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changeset
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513 ec_properties = {} |
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changeset
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514 ec_properties["class"] = "Directory" |
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parents:
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changeset
|
515 ec_properties["location"] = ec_basename |
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shellac
parents:
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changeset
|
516 ec_properties["listing"] = dir_listing(path) |
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shellac
parents:
diff
changeset
|
517 else: |
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shellac
parents:
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changeset
|
518 raise Exception("Unknown output type encountered....") |
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shellac
parents:
diff
changeset
|
519 secondary_files.append(ec_properties) |
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shellac
parents:
diff
changeset
|
520 |
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shellac
parents:
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changeset
|
521 else: |
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shellac
parents:
diff
changeset
|
522 basename = output_metadata.get("created_from_basename") |
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shellac
parents:
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changeset
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523 if not basename: |
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shellac
parents:
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changeset
|
524 basename = output_metadata.get("name") |
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shellac
parents:
diff
changeset
|
525 |
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shellac
parents:
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changeset
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526 listing = [] |
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shellac
parents:
diff
changeset
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527 properties = { |
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shellac
parents:
diff
changeset
|
528 "class": "Directory", |
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parents:
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changeset
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529 "basename": basename, |
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shellac
parents:
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changeset
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530 "listing": listing, |
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shellac
parents:
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changeset
|
531 } |
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shellac
parents:
diff
changeset
|
532 |
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shellac
parents:
diff
changeset
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533 extra_files = get_extra_files(output_metadata) |
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shellac
parents:
diff
changeset
|
534 for extra_file in extra_files: |
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shellac
parents:
diff
changeset
|
535 if extra_file["class"] == "File": |
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shellac
parents:
diff
changeset
|
536 path = extra_file["path"] |
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shellac
parents:
diff
changeset
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537 ec = get_dataset(output_metadata, filename=path) |
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shellac
parents:
diff
changeset
|
538 ec["basename"] = os.path.basename(path) |
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shellac
parents:
diff
changeset
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539 ec_properties = output_properties(pseduo_location=pseduo_location, **ec) |
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shellac
parents:
diff
changeset
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540 listing.append(ec_properties) |
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shellac
parents:
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changeset
|
541 |
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shellac
parents:
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changeset
|
542 if secondary_files: |
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shellac
parents:
diff
changeset
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543 properties["secondaryFiles"] = secondary_files |
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shellac
parents:
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changeset
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544 return properties |
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shellac
parents:
diff
changeset
|
545 |
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shellac
parents:
diff
changeset
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546 elif output_metadata["history_content_type"] == "dataset_collection": |
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"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff
changeset
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547 rval = None |
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shellac
parents:
diff
changeset
|
548 collection_type = output_metadata["collection_type"].split(":", 1)[0] |
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"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff
changeset
|
549 if collection_type in ["list", "paired"]: |
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shellac
parents:
diff
changeset
|
550 rval = [] |
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shellac
parents:
diff
changeset
|
551 for element in output_metadata["elements"]: |
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shellac
parents:
diff
changeset
|
552 rval.append(element_to_cwl_json(element)) |
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"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff
changeset
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553 elif collection_type == "record": |
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shellac
parents:
diff
changeset
|
554 rval = {} |
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shellac
parents:
diff
changeset
|
555 for element in output_metadata["elements"]: |
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shellac
parents:
diff
changeset
|
556 rval[element["element_identifier"]] = element_to_cwl_json(element) |
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shellac
parents:
diff
changeset
|
557 return rval |
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shellac
parents:
diff
changeset
|
558 else: |
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shellac
parents:
diff
changeset
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559 raise NotImplementedError("Unknown history content type encountered") |
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560 |
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561 |
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562 def download_output(galaxy_output, get_metadata, get_dataset, get_extra_files, output_path): |
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563 output_metadata = get_metadata(galaxy_output.history_content_type, galaxy_output.history_content_id) |
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564 dataset_dict = get_dataset(output_metadata) |
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565 with open(output_path, 'wb') as fh: |
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566 fh.write(dataset_dict['content']) |
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567 |
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568 |
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569 def guess_artifact_type(path): |
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570 # TODO: Handle IDs within files. |
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571 tool_or_workflow = "workflow" |
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572 try: |
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573 with open(path) as f: |
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574 artifact = yaml.safe_load(f) |
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575 |
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576 tool_or_workflow = "tool" if artifact["class"] != "Workflow" else "workflow" |
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577 |
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578 except Exception as e: |
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579 print(e) |
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580 |
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581 return tool_or_workflow |