GuilloteauQ/study-docker-repro-longevity
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Softenv analysis written.

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This commit is contained in:
antux18 2024-07-26 12:58:00 +02:00
parent 3c648c1a09
commit 8574c5e238
1 changed files with 27 additions and 17 deletions
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44
analysis/output_analysis.py
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@ -12,7 +12,7 @@ import os
def softenv_analysis(input_table): def softenv_analysis(input_table):
""" """
Analyzes the given package lists table to determine the number of artifacts Analyzes the given package lists table to determine the number of artifacts
usinga package manager, Git packages or misc packages. using a package manager, Git packages or misc packages.
Parameters Parameters
---------- ----------
@ -21,10 +21,17 @@ def softenv_analysis(input_table):
Returns Returns
------- -------
list dict
Output table of the analysis. Output table of the analysis in the form of a dict with headers as keys.
""" """
return [] pkgmgr = {}
for row in input_table:
# Third column is the package source:
if row[2] in pkgmgr:
pkgmgr[row[2]] += 1
else:
pkgmgr[row[2]] = 1
return pkgmgr
def artifact_analysis(input_table): def artifact_analysis(input_table):
""" """
@ -38,10 +45,10 @@ def artifact_analysis(input_table):
Returns Returns
------- -------
list dict
Output table of the analysis. Output table of the analysis in the form of a dict with headers as keys.
""" """
return [] return {}
def buildstatus_analysis(input_table): def buildstatus_analysis(input_table):
""" """
@ -54,10 +61,10 @@ def buildstatus_analysis(input_table):
Returns Returns
------- -------
list dict
Output table of the analysis. Output table of the analysis in the form of a dict with headers as keys.
""" """
return [] return {}
def main(): def main():
# Command line arguments parsing: # Command line arguments parsing:
@ -94,21 +101,24 @@ def main():
# Parsing the inputs from the directory: # Parsing the inputs from the directory:
input_table = [] input_table = []
os.chdir(input_dir) for input_path in os.listdir(input_dir):
for input_path in os.listdir(): input_file = open(os.path.join(input_dir, input_path))
input_file = open(input_path)
input_table += list(csv.reader(input_file)) input_table += list(csv.reader(input_file))
print(input_table)
input_file.close() input_file.close()
# Analyzing the inputs: # Analyzing the inputs:
output_file = open(output_path, "w+") output_file = open(output_path, "w+")
output_dict = {}
if analysis_type == "soft-env": if analysis_type == "soft-env":
output_file.writelines(softenv_analysis(input_table)) output_dict = softenv_analysis(input_table)
elif analysis_type == "artifact": elif analysis_type == "artifact":
output_file.writelines(artifact_analysis(input_table)) output_dict = artifact_analysis(input_table)
elif analysis_type == "build-status": elif analysis_type == "build-status":
output_file.writelines(buildstatus_analysis(input_table)) output_dict = buildstatus_analysis(input_table)
# Writing analysis to output file:
dict_writer = csv.DictWriter(output_file, fieldnames=output_dict.keys())
dict_writer.writeheader()
dict_writer.writerow(output_dict)
output_file.close() output_file.close()
if __name__ == "__main__": if __name__ == "__main__":