Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/bioblend/galaxy/tools/__init__.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 """ |
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2 Contains possible interaction dealing with Galaxy tools. |
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3 """ |
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4 from os.path import basename |
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5 |
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6 from bioblend.galaxy.client import Client |
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7 from bioblend.util import attach_file |
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8 |
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9 |
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10 class ToolClient(Client): |
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11 |
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12 def __init__(self, galaxy_instance): |
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13 self.module = 'tools' |
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14 super().__init__(galaxy_instance) |
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15 |
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16 def get_tools(self, tool_id=None, name=None, trackster=None): |
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17 """ |
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18 Get all tools or filter the specific one(s) via the provided ``name`` |
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19 or ``tool_id``. Provide only one argument, ``name`` or ``tool_id``, |
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20 but not both. |
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21 |
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22 If ``name`` is set and multiple names match the given name, all the |
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23 tools matching the argument will be returned. |
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24 |
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25 :type tool_id: str |
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26 :param tool_id: id of the requested tool |
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27 |
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28 :type name: str |
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29 :param name: name of the requested tool(s) |
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30 |
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31 :type trackster: bool |
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32 :param trackster: whether to return only tools that are compatible with |
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33 Trackster |
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34 |
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35 :rtype: list |
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36 :return: List of tool descriptions. |
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37 |
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38 .. seealso:: bioblend.galaxy.toolshed.get_repositories() |
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39 """ |
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40 if tool_id is not None and name is not None: |
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41 raise ValueError('Provide only one argument between name or tool_id, but not both') |
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42 tools = self._raw_get_tool(in_panel=False, trackster=trackster) |
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43 if tool_id is not None: |
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44 tool = next((_ for _ in tools if _['id'] == tool_id), None) |
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45 tools = [tool] if tool is not None else [] |
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46 elif name is not None: |
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47 tools = [_ for _ in tools if _['name'] == name] |
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48 return tools |
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49 |
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50 def get_tool_panel(self): |
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51 """ |
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52 Get a list of available tool elements in Galaxy's configured toolbox. |
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53 |
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54 :rtype: list |
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55 :return: List containing tools (if not in sections) or tool sections |
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56 with nested tool descriptions. |
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57 |
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58 .. seealso:: bioblend.galaxy.toolshed.get_repositories() |
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59 """ |
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60 return self._raw_get_tool(in_panel=True) |
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61 |
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62 def _raw_get_tool(self, in_panel=None, trackster=None): |
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63 params = {} |
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64 params['in_panel'] = in_panel |
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65 params['trackster'] = trackster |
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66 return self._get(params=params) |
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67 |
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68 def requirements(self, tool_id): |
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69 """ |
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70 Return the resolver status for a specific tool. |
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71 This functionality is available only to Galaxy admins. |
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72 |
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73 :type tool_id: str |
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74 :param tool_id: id of the requested tool |
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75 |
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76 :rtype: list |
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77 :return: List containing a resolver status dict for each tool |
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78 requirement. For example:: |
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79 |
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80 [{'cacheable': False, |
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81 'dependency_resolver': {'auto_init': True, |
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82 'auto_install': False, |
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83 'can_uninstall_dependencies': True, |
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84 'ensure_channels': 'iuc,conda-forge,bioconda,defaults', |
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85 'model_class': 'CondaDependencyResolver', |
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86 'prefix': '/mnt/galaxy/tool_dependencies/_conda', |
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87 'resolver_type': 'conda', |
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88 'resolves_simple_dependencies': True, |
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89 'use_local': False, |
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90 'versionless': False}, |
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91 'dependency_type': 'conda', |
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92 'environment_path': '/mnt/galaxy/tool_dependencies/_conda/envs/__blast@2.10.1', |
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93 'exact': True, |
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94 'model_class': 'MergedCondaDependency', |
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95 'name': 'blast', |
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96 'version': '2.10.1'}] |
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97 """ |
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98 url = self._make_url(tool_id) + '/requirements' |
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99 return self._get(url=url) |
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100 |
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101 def install_dependencies(self, tool_id): |
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102 """ |
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103 Install dependencies for a given tool via a resolver. |
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104 This works only for Conda currently. |
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105 This functionality is available only to Galaxy admins. |
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106 |
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107 :type tool_id: str |
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108 :param tool_id: id of the requested tool |
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109 |
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110 :rtype: dict |
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111 :return: Tool requirement status |
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112 """ |
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113 url = self._make_url(tool_id) + '/install_dependencies' |
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114 return self._post(payload={}, url=url) |
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115 |
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116 def show_tool(self, tool_id, io_details=False, link_details=False): |
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117 """ |
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118 Get details of a given tool. |
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119 |
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120 :type tool_id: str |
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121 :param tool_id: id of the requested tool |
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122 |
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123 :type io_details: bool |
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124 :param io_details: whether to get also input and output details |
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125 |
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126 :type link_details: bool |
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127 :param link_details: whether to get also link details |
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128 |
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129 :rtype: dict |
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130 :return: Information about the tool's interface |
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131 """ |
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132 params = {} |
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133 params['io_details'] = io_details |
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134 params['link_details'] = link_details |
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135 return self._get(id=tool_id, params=params) |
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136 |
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137 def run_tool(self, history_id, tool_id, tool_inputs, input_format='legacy'): |
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138 """ |
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139 Runs tool specified by ``tool_id`` in history indicated |
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140 by ``history_id`` with inputs from ``dict`` ``tool_inputs``. |
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141 |
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142 :type history_id: str |
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143 :param history_id: encoded ID of the history in which to run the tool |
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144 |
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145 :type tool_id: str |
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146 :param tool_id: ID of the tool to be run |
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147 |
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148 :type tool_inputs: dict |
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149 :param tool_inputs: dictionary of input datasets and parameters |
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150 for the tool (see below) |
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151 |
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152 :type input_format: string |
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153 :param input_format: input format for the payload. Possible values are the |
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154 default 'legacy' (where inputs nested inside conditionals |
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155 or repeats are identified with e.g. '<conditional_name>|<input_name>') |
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156 or '21.01' (where inputs inside conditionals or repeats are nested elements). |
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157 |
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158 :rtype: dict |
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159 :return: Information about outputs and job |
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160 For example:: |
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161 |
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162 {'implicit_collections': [], |
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163 'jobs': [{'create_time': '2019-05-08T12:26:16.067372', |
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164 'exit_code': None, |
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165 'id': '7dd125b61b35d782', |
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166 'model_class': 'Job', |
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167 'state': 'new', |
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168 'tool_id': 'cut1', |
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169 'update_time': '2019-05-08T12:26:16.067389'}], |
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170 'output_collections': [], |
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171 'outputs': [{'create_time': '2019-05-08T12:26:15.997739', |
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172 'data_type': 'galaxy.datatypes.tabular.Tabular', |
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173 'deleted': False, |
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174 'file_ext': 'tabular', |
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175 'file_size': 0, |
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176 'genome_build': '?', |
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177 'hda_ldda': 'hda', |
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178 'hid': 42, |
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179 'history_content_type': 'dataset', |
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180 'history_id': 'df8fe5ddadbf3ab1', |
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181 'id': 'aeb65580396167f3', |
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182 'metadata_column_names': None, |
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183 'metadata_column_types': None, |
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184 'metadata_columns': None, |
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185 'metadata_comment_lines': None, |
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186 'metadata_data_lines': None, |
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187 'metadata_dbkey': '?', |
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188 'metadata_delimiter': '\t', |
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189 'misc_blurb': 'queued', |
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190 'misc_info': None, |
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191 'model_class': 'HistoryDatasetAssociation', |
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192 'name': 'Cut on data 1', |
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193 'output_name': 'out_file1', |
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194 'peek': None, |
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195 'purged': False, |
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196 'state': 'new', |
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197 'tags': [], |
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198 'update_time': '2019-05-08T12:26:16.069798', |
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199 'uuid': 'd91d10af-7546-45be-baa9-902010661466', |
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200 'visible': True}]} |
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201 |
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202 The ``tool_inputs`` dict should contain input datasets and parameters |
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203 in the (largely undocumented) format used by the Galaxy API. |
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204 Some examples can be found in `Galaxy's API test suite |
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205 <https://github.com/galaxyproject/galaxy/blob/dev/lib/galaxy_test/api/test_tools.py>`_. |
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206 """ |
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207 payload = {} |
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208 payload["history_id"] = history_id |
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209 payload["tool_id"] = tool_id |
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210 payload["input_format"] = input_format |
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211 try: |
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212 payload["inputs"] = tool_inputs.to_dict() |
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213 except AttributeError: |
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214 payload["inputs"] = tool_inputs |
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215 return self._post(payload) |
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216 |
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217 def upload_file(self, path, history_id, **keywords): |
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218 """ |
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219 Upload the file specified by ``path`` to the history specified by |
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220 ``history_id``. |
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221 |
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222 :type path: str |
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223 :param path: path of the file to upload |
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224 |
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225 :type history_id: str |
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226 :param history_id: id of the history where to upload the file |
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227 |
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228 :type file_name: str |
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229 :param file_name: (optional) name of the new history dataset |
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230 |
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231 :type file_type: str |
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232 :param file_type: (optional) Galaxy datatype for the new dataset, default is auto |
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233 |
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234 :type dbkey: str |
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235 :param dbkey: (optional) genome dbkey |
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236 |
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237 :type to_posix_lines: bool |
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238 :param to_posix_lines: if ``True`` (the default), convert universal line |
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239 endings to POSIX line endings. Set to ``False`` when uploading a gzip, |
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240 bz2 or zip archive containing a binary file |
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241 |
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242 :type space_to_tab: bool |
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243 :param space_to_tab: whether to convert spaces to tabs. Default is |
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244 ``False``. Applicable only if to_posix_lines is ``True`` |
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245 |
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246 :rtype: dict |
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247 :return: Information about the created upload job |
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248 """ |
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249 if "file_name" not in keywords: |
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250 keywords["file_name"] = basename(path) |
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251 payload = self._upload_payload(history_id, **keywords) |
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252 payload["files_0|file_data"] = attach_file(path, name=keywords["file_name"]) |
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253 try: |
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254 return self._post(payload, files_attached=True) |
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255 finally: |
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256 payload["files_0|file_data"].close() |
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257 |
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258 def upload_from_ftp(self, path, history_id, **keywords): |
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259 """ |
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260 Upload the file specified by ``path`` from the user's FTP directory to |
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261 the history specified by ``history_id``. |
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262 |
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263 :type path: str |
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264 :param path: path of the file in the user's FTP directory |
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265 |
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266 :type history_id: str |
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267 :param history_id: id of the history where to upload the file |
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268 |
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269 See :meth:`upload_file` for the optional parameters. |
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270 |
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271 :rtype: dict |
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272 :return: Information about the created upload job |
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273 """ |
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274 payload = self._upload_payload(history_id, **keywords) |
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275 payload['files_0|ftp_files'] = path |
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276 return self._post(payload) |
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277 |
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278 def paste_content(self, content, history_id, **kwds): |
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279 """ |
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280 Upload a string to a new dataset in the history specified by |
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281 ``history_id``. |
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282 |
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283 :type content: str |
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284 :param content: content of the new dataset to upload or a list of URLs |
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285 (one per line) to upload |
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286 |
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287 :type history_id: str |
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288 :param history_id: id of the history where to upload the content |
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289 |
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290 :rtype: dict |
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291 :return: Information about the created upload job |
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292 |
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293 See :meth:`upload_file` for the optional parameters. |
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294 """ |
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295 payload = self._upload_payload(history_id, **kwds) |
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296 payload["files_0|url_paste"] = content |
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297 return self._post(payload, files_attached=False) |
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298 |
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299 put_url = paste_content |
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300 |
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301 def _upload_payload(self, history_id, **keywords): |
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302 payload = {} |
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303 payload["history_id"] = history_id |
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304 payload["tool_id"] = keywords.get("tool_id", "upload1") |
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305 tool_input = {} |
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306 tool_input["file_type"] = keywords.get('file_type', 'auto') |
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307 tool_input["dbkey"] = keywords.get("dbkey", "?") |
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308 if not keywords.get('to_posix_lines', True): |
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309 tool_input['files_0|to_posix_lines'] = False |
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310 elif keywords.get('space_to_tab', False): |
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311 tool_input['files_0|space_to_tab'] = 'Yes' |
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312 if 'file_name' in keywords: |
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313 tool_input["files_0|NAME"] = keywords['file_name'] |
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314 tool_input["files_0|type"] = "upload_dataset" |
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315 payload["inputs"] = tool_input |
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316 return payload |