mirror of
https://github.com/newnius/YAO-optimizer.git
synced 2025-06-06 06:41:55 +00:00
make sure tmp testfile is removed
This commit is contained in:
parent
fd7ac13ce0
commit
a178107abd
@ -2,6 +2,7 @@
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@ -53,7 +54,7 @@
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@ -73,8 +74,8 @@
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@ -85,8 +86,8 @@
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@ -94,8 +95,8 @@
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@ -138,6 +139,7 @@
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@ -204,7 +206,7 @@
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@ -249,12 +251,12 @@
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@ -416,17 +418,10 @@
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@ -434,10 +429,17 @@
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<entry file="file://$PROJECT_DIR$/serve.py">
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14
serve.py
14
serve.py
@ -78,24 +78,24 @@ def predict(job, features):
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for feature in models[job]['features']:
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values.append(features[feature])
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datafile = './data/' + job + '.' + str(random.randint(1000, 9999)) + '.csv'
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testfile = './data/' + job + '.' + str(random.randint(1000, 9999)) + '.csv'
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t = ['job']
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t.extend(models[job]['features'])
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with open(datafile, 'w', newline='') as csvfile:
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with open(testfile, 'w', newline='') as csvfile:
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spamwriter = csv.writer(
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csvfile, delimiter=',',
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quotechar='|', quoting=csv.QUOTE_MINIMAL
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)
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spamwriter.writerow(t)
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with open(datafile, 'a+', newline='') as csvfile:
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with open(testfile, 'a+', newline='') as csvfile:
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spamwriter = csv.writer(
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csvfile, delimiter=',',
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quotechar='|', quoting=csv.QUOTE_MINIMAL
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)
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spamwriter.writerow(values)
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testdata = pd.read_csv(datafile)
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testdata = pd.read_csv(testfile)
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test_feature = testdata.iloc[:, 1:]
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predictions = {}
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@ -103,13 +103,15 @@ def predict(job, features):
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# load the model from disk
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modelfile = './data/' + job + '_' + label + '.sav'
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if not os.path.exists(modelfile):
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if os.path.exists(testfile):
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os.remove(testfile)
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return -1, False
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model = pickle.load(open(modelfile, 'rb'))
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preds = model.predict(test_feature)
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predictions[label] = preds[0]
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if os.path.exists(datafile):
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os.remove(datafile)
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if os.path.exists(testfile):
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os.remove(testfile)
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return predictions, True
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