def keyWordExtraction():
description = {'Title': 'Software Engineer', 'Skill': ['Microsoft Office', 'Data Mining', 'Image Processing','Android','MySQL'], 'Certification': 'Random value', 'Volunteering': 'Random value'}
resumesInput = []
resumes = []
decorators = {'Skill':ex.skills_dec , 'Language':ex.language_dec , 'Experience':ex.experience_dec}
extractor = ex.get_base
decorator = ex.experience_dec
extractor = decorator(extractor)
for key in job_description:
decorator = decorators.get(key)
if decorator!= None:
extractor = decorator(extractor)
# decorator = decorators["Language"]
# extractor = decorator(extractor)
# decorator = decorators["Experience"]
# extractor = decorator(extractor)
resumesInput.append('static/IsenNg.pdf')
resumesInput.append('static/DonnabelleEmbodo.pdf')
resumesInput.append('static/DesmondLim.pdf')
resumesInput.append('static/JinYuanTeo.pdf')
for resumeInput in resumesInput:
forExtractorInput = convertPDF.convertWithCoordinatesPara(resumeInput)
resume = extractor(forExtractorInput['pdfText'])
resume = "{" + resume +"}"
resumes.append(resume)
first = True
output = "["
for resume in resumes:
if first:
output = output + resume
first = False
else:
output = output + "," + resume
output = output + "]"
forAnalyzer = ast.literal_eval(output)
#print forAnalyzer
result = analyzer.process_analyzer(description, forAnalyzer)
return output
def analyzeCV():
#setup extractor with base and decorators
decorators = {'Skill':ex.skills_dec , 'Language':ex.language_dec , 'Experience':ex.experience_dec}
extractor = ex.get_base
decorator = decorators["Skill"]
extractor = decorator(extractor)
decorator = decorators["Experience"]
extractor = decorator(extractor)
decorator = decorators["Language"]
extractor = decorator(extractor)
#retrieve files from static
resumesDir = os.listdir('static')
resumeFiles = []
resumes = []
for resumeFile in resumesDir:
if resumeFile.endswith(".pdf"):
resumeFiles.append('static/'+ resumeFile)
for resumeFile in resumeFiles:
forExtractorInput = convertPDF.convertWithCoordinatesPara(resumeFile)
resume = extractor(forExtractorInput['pdfText'])
resume = "{" + resume +"}"
resumes.append(resume)
first = True
analyzerResumesInput = "["
for resume in resumes:
if first:
analyzerResumesInput = analyzerResumesInput + resume
first = False
else:
analyzerResumesInput = analyzerResumesInput + "," + resume
print job_description
analyzerResumesInput = analyzerResumesInput + "]"
analyzerDictResumesInput = ast.literal_eval(analyzerResumesInput)
result = analyzer.process_analyzer(job_description, analyzerDictResumesInput)
return json.dumps(result)
def hello():
return json.dumps(convertPDF.convertWithCoordinatesPara('static/YaminiBhaskar.pdf'))