test_profile_service1

python 1 day, 6 hours ago

import pytest import pandas as pd import numpy as np from datetime import datetime from decimal import Decimal # Mock constants (replace with actual constants used in your methods) COLUMNS = "columns" TABLE = "table" ANALYSIS = "analysis" NUMERICAL_COLUMNS = "numerical_columns" CATEGORICAL_COLUMNS = "categorical_columns" DATETIME_COLUMNS = "datetime_columns" RECOMMENDED_RESOLUTION = "recommended_resolution" USE_FOR_ANOMALY = "use_for_anomaly" DATE_START = "date_start" DATE_END = "date_end" LONGTEXT_COLUMNS = "longtext_columns" CORRELATIONS = "correlations" PROFILER_CATEGORIES = ["mean", "std_dev", "p_distinct"] PHI_K = "phi_k" METRIC_TIME = "METRIC_TIME" WORD_COUNTS = "word_counts" OTHERS = "others" TYPE = "type" NUMERIC = "numeric" CATEGORICAL = "categorical" DATETIME = "datetime" P_DISTINCT = "p_distinct" # Sample utility functions for mocking data def mock_profiler_output(): return { "variables": { "column1": {"mean": 10, "std_dev": 5, "p_distinct": 0.1}, "column2": {"mean": 15, "std_dev": 7, "p_distinct": 0.2}, }, TABLE: {TYPES: {NUMERIC: 2, CATEGORICAL: 0}}, CORRELATIONS: {PHI_K: [{"column1": {"column2": 0.9}}]}, } def mock_custom_dict(): return { COLUMNS: {}, TABLE: {TYPES: {NUMERIC: 0, CATEGORICAL: 0, DATETIME: 0}}, ANALYSIS: { NUMERICAL_COLUMNS: [], CATEGORICAL_COLUMNS: [], DATETIME_COLUMNS: [], USE_FOR_ANOMALY: [], }, } # Test cases def test_create_base_custom_dict(): profiler_output = mock_profiler_output() custom_dict = mock_custom_dict() date_start = "2022-01-01" date_end = "2023-01-01" timestamp_val = "timestamp" long_text_cols = ["long_text_col"] result = create_base_custom_dict(profiler_output, custom_dict, date_start, date_end, timestamp_val, long_text_cols) assert result[COLUMNS]["column1"]["mean"] == 10 assert result[ANALYSIS][DATETIME_COLUMNS] == ["timestamp"] assert result[ANALYSIS][DATE_START] == date_start assert result[ANALYSIS][DATE_END] == date_end def test_convert_column_to_float(): assert convert_column_to_float(10) == 10.0 assert np.isnan(convert_column_to_float(None)) def test_check_if_epoch(): current_time = int(time.time()) assert check_if_epoch(current_time) is True assert check_if_epoch(current_time - 315569260) is True assert check_if_epoch(1234567890) is True def test_replace_period_with_hyphen(): custom_dict = mock_custom_dict() custom_dict[COLUMNS] = { "column1": {WORD_COUNTS: {"a.b": 10, "c.d": 20, OTHERS: 0}} } result = replace_period_with_hyphen(custom_dict) assert "a_b" in result[COLUMNS]["column1"][WORD_COUNTS] def test_numerical_to_categorical(): custom_dict = mock_custom_dict() custom_dict[COLUMNS] = { "num_col": {P_DISTINCT: 0.0} } custom_dict[ANALYSIS][NUMERICAL_COLUMNS].append("num_col") result = numerical_to_categorical(custom_dict) assert "num_col" in result[ANALYSIS][CATEGORICAL_COLUMNS] assert "num_col" not in result[ANALYSIS][NUMERICAL_COLUMNS] def test_update_recommended_resolution(): df = pd.DataFrame({"METRIC_TIME": [1_000_000, 2_000_000, 4_000_000]}) frequency = update_recommended_resolution(df) assert frequency in ["5M", "1D"] # Expected valid frequencies def test_create_mongo_dict(): result = create_mongo_dict("req1", "data1", "uuid1") assert result["_id"] == "req1-data1" assert result["requestId"] == "req1" assert result["datasetId"] == "data1" assert result["uuid"] == "uuid1"

kishore_kumar

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                            #!/usr/bin/python
  
import boto

python aws beanstalk

sandeep


                            import os

def list_files_folders(path):

python python-os

kishore_kumar


                            import os
env = os.environ

python python-os

kishore_kumar


                            import os
print os.uname()
# Don't use os.system('uname -a'), its j

python python-os

kishore_kumar


                            def file_stats(path):
    f = open(path, 'r')
    lines = f.readlines()

python

kishore_kumar


                            def get_double(num):
    return num * 2

python

kishore_kumar


                            print "Welcome to python"

python

gaya38


                            a=input("Enter a value:")
if (a%2==0):
    print "The given number is even numb

python

gaya38


                            a=input("Enter a value:")
k=0
b=(a/2)+1

python

gaya38


                            import sys
x=len(sys.argv)
a=[]

python

gaya38


                            a = [1,43,98,5]#Dummy data
for l in range(len(a)-1):
        if (a[l]>a[l+1]):

python

gaya38


                            n=100
a=[10,20,30,40,50]
b=[60,70,80,90]

python

gaya38


                            n=input("Enter the constraint to print n
m=input("Enter the maximum value to prin
a=0

python

gaya38


                            import random
print random.uniform(10,500)

python

gaya38


                            import random;
z = [1,90,4,2]
z = random.shuffle(z)

python

gaya38


                            import requests

req = requests.get("https://httpbin.org/

python python-requests

kishore_kumar


                            sample_dict = { "number": 1, "fruits": [

for key in sample_dict:

python

kishore_kumar


                            import numpy as np

matrix = [[1,2,3], [4,5,6], [7,8,9]]

python numpy

kishore_kumar


                            import numpy as np

random_arr = np.random.randint(1,50,9)

python numpy

kishore_kumar


                            import numpy as np

random_arr = np.random.randint(1,50,9)

python numpy

kishore_kumar

test_profile_service1

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