Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/gxformat2/normalize.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """Abstractions for uniform across formats.""" |
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2 import copy |
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3 from typing import Union |
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4 |
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5 from gxformat2._scripts import ensure_format2 |
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6 from gxformat2.converter import ( |
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7 steps_as_list, |
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8 ) |
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9 from gxformat2.model import ( |
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10 inputs_as_normalized_steps, |
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11 outputs_as_list, |
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12 ) |
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13 from gxformat2.yaml import ordered_load |
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14 |
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15 NON_INPUT_TYPES = ["tool", "subworkflow", "pause"] |
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16 |
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17 |
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18 class Inputs(object): |
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19 """An abstraction around a Galaxy workflow's inputs.""" |
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20 |
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21 def __init__(self, workflow_dict): |
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22 """Parse normalized inputs from dictified workflow representation.""" |
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23 self._inputs = inputs_normalized(workflow_dict=workflow_dict) |
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24 |
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25 def is_an_input(self, target_label): |
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26 """Return true if step label/id is a input. |
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27 |
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28 This does assume all labels that are numeric strings refer to the Galaxy 'id' |
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29 (i.e. order_index). We should make sure Galaxy doesn't allow purely numeric |
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30 labels so this doesn't get confusing and we can ensure correctness. |
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31 """ |
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32 if isinstance(target_label, str): |
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33 for input_def in self._inputs: |
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34 label = input_def.get("label") or input_def.get("id") |
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35 if target_label == label: |
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36 return True |
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37 |
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38 for input_def in self._inputs: |
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39 label = input_def.get("label") or input_def.get("id") |
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40 if label.isdigit() and target_label == int(label): |
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41 return True |
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42 |
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43 if isinstance(target_label, int): |
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44 for index, input_def in enumerate(self._inputs): |
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45 if target_label == index: |
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46 return True |
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47 input_id = input_def.get("id") |
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48 if isinstance(input_id, str): |
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49 if input_id.isdigit() and int(input_id) == target_label: |
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50 return True |
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51 else: |
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52 if target_label == input_id: |
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53 return True |
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54 |
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55 return False |
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56 |
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57 @property |
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58 def count(self): |
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59 """Return the number of declared inputs for the workflow.""" |
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60 return len(self._inputs) |
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61 |
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62 |
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63 class NormalizedWorkflow(object): |
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64 """Present a view of a Format2 workflow that has been normalized. |
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65 |
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66 In a normalized view: |
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67 - Steps are a list and ids/labels have been populated |
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68 - references to anonymous outputs have been relaced with the correct anonymous label |
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69 |
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70 TODO: |
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71 - input: <type> has been converted to input: {type: <type>} |
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72 - step inputs have been replaced with input declarations |
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73 - normalize out declarations to dicts? |
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74 """ |
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75 |
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76 def __init__(self, input_workflow: dict): |
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77 """Create a NormalizedWorkflow from supplied Format2 workflow.""" |
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78 self.input_workflow = input_workflow |
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79 normalized_workflow = copy.deepcopy(input_workflow) |
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80 _replace_anonymous_output_references(normalized_workflow) |
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81 _ensure_implicit_step_outs(normalized_workflow) |
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82 inputs = normalized_workflow.get("inputs", None) |
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83 if inputs: |
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84 normalized_workflow["inputs"] = inputs_as_normalized_steps(normalized_workflow) |
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85 self.normalized_workflow_dict = normalized_workflow |
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86 |
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87 |
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88 def steps_normalized(workflow_dict=None, workflow_path=None): |
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89 """Walk over a normalized step rep. across workflow formats.""" |
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90 workflow_dict = _ensure_format2(workflow_dict=workflow_dict, workflow_path=workflow_path) |
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91 steps = steps_as_list(workflow_dict) |
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92 return inputs_as_normalized_steps(workflow_dict) + steps |
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93 |
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94 |
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95 def inputs_normalized(**kwd): |
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96 """Call steps_normalized and retain just the input steps normalized.""" |
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97 steps = steps_normalized(**kwd) |
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98 input_steps = [] |
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99 for step in steps: |
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100 step_type = step.get("type") or 'tool' |
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101 if step_type in NON_INPUT_TYPES: |
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102 continue |
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103 |
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104 input_steps.append(step) |
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105 |
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106 return input_steps |
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107 |
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108 |
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109 def outputs_normalized(**kwd): |
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110 """Ensure Format2 and return outputs. |
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111 |
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112 Probably should go farther and normalize source -> outputSource, |
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113 but doesn't yet do this. |
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114 """ |
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115 workflow_dict = _ensure_format2(**kwd) |
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116 return outputs_as_list(workflow_dict) |
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117 |
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118 |
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119 def walk_id_list_or_dict(dict_or_list: Union[dict, list]): |
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120 """Walk over idmap regardless of list or dict representation.""" |
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121 if isinstance(dict_or_list, list): |
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122 for item in dict_or_list: |
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123 yield item["id"], item |
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124 else: |
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125 for item in dict_or_list.items(): |
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126 yield item |
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127 |
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128 |
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129 def _replace_anonymous_output_references(workflow_dict: dict): |
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130 """Replace anonymous output referneces in a Format 2 representation. |
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131 |
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132 Don't do this when converting to/from other Galaxy formats because it |
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133 effectively adds output labels, but it can be useful for checking logic |
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134 and exporting to other formats that would benefit from or require an |
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135 output label (e.g. abstract CWL). |
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136 """ |
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137 runs_by_label = {} |
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138 for step in steps_as_list(workflow_dict, add_ids=True, inputs_offset=len(workflow_dict["inputs"]), mutate=False): |
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139 label = step.get("label") |
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140 if label is None: |
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141 label = step.get("id") |
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142 assert label is not None, step |
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143 label = str(label) |
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144 if "run" in step: |
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145 runs_by_label[label] = step["run"] |
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146 |
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147 for output_name, output in walk_id_list_or_dict(workflow_dict.get("outputs", {})): |
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148 if "outputSource" in output: |
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149 output_source = output["outputSource"] |
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150 if "/" in output_source: |
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151 step, output_name = output_source.split("/", 1) |
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152 if ":" in output_name: |
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153 subworkflow_label, subworkflow_output = output_name.split(":", 1) |
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154 assert subworkflow_label in runs_by_label, "%s not in %s" % (subworkflow_label, runs_by_label.keys()) |
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155 run = runs_by_label[subworkflow_label] |
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156 subworkflow_outputs = run["outputs"] |
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157 assert isinstance(subworkflow_outputs, dict) |
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158 for subworkflow_output_name, output_def in subworkflow_outputs.items(): |
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159 if output_def["outputSource"] == "%s/%s" % (subworkflow_label, subworkflow_output): |
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160 output["outputSource"] = "%s/%s" % (step, subworkflow_output_name) |
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161 |
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162 |
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163 def _ensure_implicit_step_outs(workflow_dict: dict): |
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164 """Ensure implicit 'out' dicts allowed by format2 are filled in for CWL.""" |
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165 outputs_by_label = {} |
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166 |
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167 def register_step_output(step_label, output_name): |
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168 step_label = str(step_label) |
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169 if step_label not in outputs_by_label: |
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170 outputs_by_label[step_label] = set() |
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171 outputs_by_label[step_label].add(output_name) |
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172 |
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173 def register_output_source(output_source): |
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174 if "/" in output_source: |
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175 step, output_name = output_source.split("/", 1) |
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176 register_step_output(step, output_name) |
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177 |
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178 for output_name, output in walk_id_list_or_dict(workflow_dict.get("outputs", {})): |
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179 if "outputSource" in output: |
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180 output_source = output["outputSource"] |
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181 if "/" in output_source: |
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182 step, output_name = output_source.split("/", 1) |
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183 register_step_output(step, output_name) |
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184 |
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185 for step in steps_as_list(workflow_dict, mutate=False): |
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186 step_in = step.get("in", {}) |
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187 for step_in_name, step_in_def in step_in.items(): |
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188 register_output_source(step_in_def) |
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189 |
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190 for step in steps_as_list(workflow_dict, add_ids=True, inputs_offset=len(workflow_dict["inputs"]), mutate=True): |
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191 label = step.get("label") |
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192 if label is None: |
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193 label = step.get("id") |
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194 assert label is not None, step |
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195 label = str(label) |
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196 if "out" not in step: |
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197 step["out"] = [] |
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198 for out in outputs_by_label.get(label, []): |
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199 step_out = step["out"] |
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200 if isinstance(step_out, list): |
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201 if out not in step_out: |
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202 step_out.append(out) |
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203 else: |
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204 step_out[out] = {} |
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205 |
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206 |
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207 def _ensure_format2(workflow_dict=None, workflow_path=None): |
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208 if workflow_path is not None: |
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209 assert workflow_dict is None |
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210 with open(workflow_path, "r") as f: |
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211 workflow_dict = ordered_load(f) |
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212 |
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213 workflow_dict = ensure_format2(workflow_dict) |
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214 return workflow_dict |