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util/generate-hugo-content.py: add support for fsc.csv
Currently the only difference is the name of the module column and that there are no mandatory fields so we need to be careful there.
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@ -44,8 +44,19 @@ def parseSchema(schema_df):
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# For example Certifying Body, FSC audit, Certificate, etc
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# For example Certifying Body, FSC audit, Certificate, etc
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cluster = row["idss element cluster"].capitalize()
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cluster = row["idss element cluster"].capitalize()
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# For example Assurance, Certification, Core, Impact, etc
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# Extract the module (whether from IDSS or extension), for example
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module = row["idss schema module"].capitalize()
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# Assurance, Certification, Core, Impact, etc
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if "idss schema module" in df.columns:
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module = row["idss schema module"]
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# Use the default home layout
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layout = "home"
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elif "fsc extension module" in df.columns:
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module = row["fsc extension module"]
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# Since we know this is the FSC schema we can set the layout to
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# use the custom fsc layout instead of the default home layout.
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layout = "fsc"
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# Generate a "safe" version of the element name for use in URLs and
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# Generate a "safe" version of the element name for use in URLs and
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# files by combining the cluster and the element name. This could
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# files by combining the cluster and the element name. This could
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@ -79,8 +90,12 @@ def parseSchema(schema_df):
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if row["element controlled values or terms"]:
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if row["element controlled values or terms"]:
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controlled_vocab = True
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controlled_vocab = True
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controlled_vocabulary_src=f"data/controlled-vocabularies/{element_name_safe}.txt"
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controlled_vocabulary_src = (
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controlled_vocabulary_dst=f"site/content/terms/{element_name_safe}/vocabulary.txt"
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f"data/controlled-vocabularies/{element_name_safe}.txt"
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)
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controlled_vocabulary_dst = (
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f"site/content/terms/{element_name_safe}/vocabulary.txt"
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)
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copyfile(controlled_vocabulary_src, controlled_vocabulary_dst)
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copyfile(controlled_vocabulary_src, controlled_vocabulary_dst)
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@ -89,7 +104,7 @@ def parseSchema(schema_df):
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else:
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else:
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controlled_vocab = False
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controlled_vocab = False
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if row["mandatory?"] == "MANDATORY":
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if "mandatory?" in df.columns and row["mandatory?"] == "MANDATORY":
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required = True
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required = True
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else:
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else:
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required = False
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required = False
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@ -129,6 +144,8 @@ def parseSchema(schema_df):
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if cluster:
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if cluster:
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indexLines.append(f"cluster: '{cluster}'\n")
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indexLines.append(f"cluster: '{cluster}'\n")
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indexLines.append(f"policy: '{policy}'\n")
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indexLines.append(f"policy: '{policy}'\n")
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if layout:
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indexLines.append(f"layout: '{layout}'\n")
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## TODO: use some real date...?
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## TODO: use some real date...?
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# indexLines.append(f"date: '2019-05-04T00:00:00+00:00'\n")
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# indexLines.append(f"date: '2019-05-04T00:00:00+00:00'\n")
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indexLines.append("---")
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indexLines.append("---")
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