def displayFunctionResults(self):
func = self.request.get('func')
if func == 'criticSimilarity':
topEuclid = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_euclid_distance)
template_values['resultEuclidean'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topEuclid)
topPearson = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_pearson_distance)
template_values['resultPearson'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topPearson)
topCos = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_cosine)
template_values['resultCosine'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topCos)
topExtJaccard = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_ext_jaccard)
template_values['resultExtJaccard'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topExtJaccard)
elif func == 'getRecommendation':
recommends = recommendations.getRecommendations(recommendations.critics,
self.request.get('criticToGetRecommendations'))
template_values['result'] = recommendations_web.tupleAsHTMLTable(['Likability Rating', 'Movie Title'], recommends)
elif func == 'getSimilarMovies':
movies = recommendations.transformPrefs(recommendations.critics)
recommends = recommendations.topMatches(movies,
self.request.get('movieToGetSimilar'))
template_values['result'] = recommendations_web.tupleAsHTMLTable(['Recommendation Rating', 'Movie Title'], recommends)
def get(self):
template = jinja_environment.get_template("/html/CompareCritics.html")
if self.request.get('criticToCompare') != "":
topEuclid = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_euclid_distance)
template_values['resultEuclidean'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topEuclid)
topPearson = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_pearson_distance)
template_values['resultPearson'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topPearson)
topCos = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_cosine)
template_values['resultCosine'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topCos)
topExtJaccard = recommendations.topMatches(recommendations.critics,
self.request.get('criticToCompare'), -1, recommendations.similarities_ext_jaccard)
template_values['resultExtJaccard'] = recommendations_web.tupleAsHTMLTable(['Similarity', 'Critic'], topExtJaccard)
self.response.out.write(template.render(template_values))