Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/planemo/conda.py @ 0:26e78fe6e8c4 draft
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author | shellac |
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date | Sat, 02 May 2020 07:14:21 -0400 |
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1 """Planemo specific utilities for dealing with conda. |
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2 |
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3 The extend galaxy-tool-util's features with planemo specific idioms. |
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4 """ |
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5 |
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6 from __future__ import absolute_import |
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7 |
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8 import collections |
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9 import os |
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10 import threading |
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11 |
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12 from galaxy.tool_util.deps import conda_util |
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13 |
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14 from planemo.exit_codes import EXIT_CODE_FAILED_DEPENDENCIES, ExitCodeException |
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15 from planemo.io import error, shell |
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16 from planemo.tools import yield_tool_sources_on_paths |
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17 |
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18 MESSAGE_ERROR_FAILED_INSTALL = "Attempted to install conda and failed." |
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19 MESSAGE_ERROR_CANNOT_INSTALL = "Cannot install Conda - perhaps due to a failed installation or permission problems." |
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20 MESSAGE_ERROR_NOT_INSTALLING = "Conda not configured - run ``planemo conda_init`` or pass ``--conda_auto_init`` to continue." |
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21 |
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22 BEST_PRACTICE_CHANNELS = ["conda-forge", "bioconda", "defaults"] |
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23 |
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24 |
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25 def build_conda_context(ctx, **kwds): |
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26 """Build a galaxy-tool-util CondaContext tailored to planemo use. |
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27 |
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28 Using planemo's common command-line/global config options. |
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29 """ |
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30 condarc_override_default = os.path.join(ctx.workspace, "condarc") |
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31 conda_prefix = kwds.get("conda_prefix", None) |
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32 use_planemo_shell = kwds.get("use_planemo_shell_exec", True) |
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33 ensure_channels = kwds.get("conda_ensure_channels", "") |
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34 condarc_override = kwds.get("condarc", condarc_override_default) |
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35 use_local = kwds.get("conda_use_local", False) |
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36 shell_exec = shell if use_planemo_shell else None |
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37 conda_context = conda_util.CondaContext(conda_prefix=conda_prefix, |
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38 ensure_channels=ensure_channels, |
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39 condarc_override=condarc_override, |
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40 use_local=use_local, |
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41 shell_exec=shell_exec) |
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42 handle_auto_init = kwds.get("handle_auto_init", False) |
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43 if handle_auto_init and not conda_context.is_installed(): |
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44 auto_init = kwds.get("conda_auto_init", True) |
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45 failed = True |
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46 if auto_init: |
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47 if conda_context.can_install_conda(): |
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48 if conda_util.install_conda(conda_context): |
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49 error(MESSAGE_ERROR_FAILED_INSTALL) |
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50 else: |
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51 failed = False |
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52 else: |
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53 error(MESSAGE_ERROR_CANNOT_INSTALL) |
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54 else: |
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55 error(MESSAGE_ERROR_NOT_INSTALLING) |
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56 |
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57 if failed: |
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58 raise ExitCodeException(EXIT_CODE_FAILED_DEPENDENCIES) |
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59 if handle_auto_init: |
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60 conda_context.ensure_conda_build_installed_if_needed() |
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61 return conda_context |
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62 |
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63 |
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64 def collect_conda_targets(ctx, paths, recursive=False, found_tool_callback=None): |
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65 """Load CondaTarget objects from supplied artifact sources. |
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66 |
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67 If a tool contains more than one requirement, the requirements will each |
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68 appear once in the output. |
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69 """ |
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70 conda_targets = set([]) |
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71 real_paths = [] |
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72 for path in paths: |
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73 if not os.path.exists(path): |
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74 targets = target_str_to_targets(path) |
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75 [conda_targets.add(_) for _ in targets] |
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76 else: |
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77 real_paths.append(path) |
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78 |
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79 for (tool_path, tool_source) in yield_tool_sources_on_paths(ctx, real_paths, recursive=recursive, exclude_deprecated=True): |
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80 if found_tool_callback: |
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81 found_tool_callback(tool_path) |
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82 for target in tool_source_conda_targets(tool_source): |
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83 conda_targets.add(target) |
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84 return conda_targets |
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85 |
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86 |
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87 # Copied and modified from mulled stuff - need to syncronize these concepts. |
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88 def target_str_to_targets(targets_raw): |
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89 def parse_target(target_str): |
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90 if "=" in target_str: |
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91 package_name, version = target_str.split("=", 1) |
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92 else: |
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93 package_name = target_str |
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94 version = None |
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95 target = conda_util.CondaTarget(package_name, version) |
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96 return target |
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97 |
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98 targets = [parse_target(_) for _ in targets_raw.split(",")] |
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99 return targets |
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100 |
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101 |
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102 def collect_conda_target_lists(ctx, paths, recursive=False, found_tool_callback=None): |
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103 """Load CondaTarget lists from supplied artifact sources. |
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104 |
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105 If a tool contains more than one requirement, the requirements will all |
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106 appear together as one list element of the output list. |
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107 """ |
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108 conda_target_lists, _ = collect_conda_target_lists_and_tool_paths(ctx, paths, recursive=recursive, found_tool_callback=found_tool_callback) |
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109 return conda_target_lists |
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110 |
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111 |
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112 def collect_conda_target_lists_and_tool_paths(ctx, paths, recursive=False, found_tool_callback=None): |
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113 """Load CondaTarget lists from supplied artifact sources. |
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114 |
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115 If a tool contains more than one requirement, the requirements will all |
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116 appear together as one list element of the output list. |
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117 """ |
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118 conda_target_lists = set([]) |
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119 tool_paths = collections.defaultdict(list) |
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120 for (tool_path, tool_source) in yield_tool_sources_on_paths(ctx, paths, recursive=recursive, yield_load_errors=False): |
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121 if found_tool_callback: |
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122 found_tool_callback(tool_path) |
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123 targets = frozenset(tool_source_conda_targets(tool_source)) |
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124 conda_target_lists.add(targets) |
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125 tool_paths[targets].append(tool_path) |
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126 |
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127 # Turn them into lists so the order matches before returning... |
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128 conda_target_lists = list(conda_target_lists) |
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129 conda_target_tool_paths = [tool_paths[c] for c in conda_target_lists] |
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130 |
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131 return conda_target_lists, conda_target_tool_paths |
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132 |
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133 |
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134 def tool_source_conda_targets(tool_source): |
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135 """Load CondaTarget object from supplied abstract tool source.""" |
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136 requirements, _ = tool_source.parse_requirements_and_containers() |
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137 return conda_util.requirements_to_conda_targets(requirements) |
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138 |
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139 |
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140 best_practice_search_first = threading.local() |
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141 |
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142 |
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143 def best_practice_search(conda_target, conda_context=None, platform=None): |
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144 # Call it in offline mode after the first time. |
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145 try: |
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146 best_practice_search_first.previously_called |
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147 # TODO: Undo this... |
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148 offline = False |
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149 except AttributeError: |
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150 best_practice_search_first.previously_called = True |
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151 offline = False |
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152 |
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153 if not conda_context: |
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154 conda_context = conda_util.CondaContext() |
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155 return conda_util.best_search_result( |
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156 conda_target, |
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157 conda_context=conda_context, |
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158 channels_override=BEST_PRACTICE_CHANNELS, |
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159 offline=offline, |
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160 platform=platform, |
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161 ) |
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162 |
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163 |
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164 __all__ = ( |
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165 "BEST_PRACTICE_CHANNELS", |
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166 "best_practice_search", |
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167 "build_conda_context", |
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168 "collect_conda_targets", |
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169 "collect_conda_target_lists", |
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170 "collect_conda_target_lists_and_tool_paths", |
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171 "tool_source_conda_targets", |
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172 ) |