Softenv analysis written.
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@ -12,7 +12,7 @@ import os
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def softenv_analysis(input_table):
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"""
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Analyzes the given package lists table to determine the number of artifacts
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usinga package manager, Git packages or misc packages.
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using a package manager, Git packages or misc packages.
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Parameters
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----------
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@ -21,10 +21,17 @@ def softenv_analysis(input_table):
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Returns
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-------
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list
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Output table of the analysis.
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dict
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Output table of the analysis in the form of a dict with headers as keys.
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"""
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return []
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pkgmgr = {}
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for row in input_table:
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# Third column is the package source:
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if row[2] in pkgmgr:
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pkgmgr[row[2]] += 1
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else:
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pkgmgr[row[2]] = 1
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return pkgmgr
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def artifact_analysis(input_table):
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"""
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@ -38,10 +45,10 @@ def artifact_analysis(input_table):
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Returns
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-------
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list
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Output table of the analysis.
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dict
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Output table of the analysis in the form of a dict with headers as keys.
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"""
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return []
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return {}
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def buildstatus_analysis(input_table):
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"""
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@ -54,10 +61,10 @@ def buildstatus_analysis(input_table):
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Returns
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-------
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list
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Output table of the analysis.
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dict
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Output table of the analysis in the form of a dict with headers as keys.
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"""
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return []
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return {}
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def main():
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# Command line arguments parsing:
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@ -94,21 +101,24 @@ def main():
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# Parsing the inputs from the directory:
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input_table = []
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os.chdir(input_dir)
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for input_path in os.listdir():
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input_file = open(input_path)
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for input_path in os.listdir(input_dir):
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input_file = open(os.path.join(input_dir, input_path))
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input_table += list(csv.reader(input_file))
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print(input_table)
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input_file.close()
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# Analyzing the inputs:
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output_file = open(output_path, "w+")
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output_dict = {}
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if analysis_type == "soft-env":
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output_file.writelines(softenv_analysis(input_table))
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output_dict = softenv_analysis(input_table)
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elif analysis_type == "artifact":
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output_file.writelines(artifact_analysis(input_table))
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output_dict = artifact_analysis(input_table)
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elif analysis_type == "build-status":
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output_file.writelines(buildstatus_analysis(input_table))
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output_dict = buildstatus_analysis(input_table)
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# Writing analysis to output file:
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dict_writer = csv.DictWriter(output_file, fieldnames=output_dict.keys())
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dict_writer.writeheader()
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dict_writer.writerow(output_dict)
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output_file.close()
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if __name__ == "__main__":
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