Skip to content

test_integration

test_integration_empty_dataframes(spark)

Test integration with empty DataFrames.

Source code in code\tests\test_local_material\test_integration.py 
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
def test_integration_empty_dataframes(spark):
    """Test integration with empty DataFrames."""
    # Define schemas
    sap_mara_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("MEINS", StringType(), True),
            StructField("GLOBAL_MATERIAL_NUMBER", StringType(), True),
        ]
    )

    sap_mbew_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("VPRSV", StringType(), True),
            StructField("VERPR", DoubleType(), True),
            StructField("STPRS", DoubleType(), True),
            StructField("PEINH", LongType(), True),
            StructField("BKLAS", StringType(), True),
        ]
    )

    sap_marc_schema = StructType(
        [
            StructField("SOURCE_SYSTEM_ERP", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("WERKS", StringType(), True),
        ]
    )

    sap_t001k_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("BUKRS", StringType(), True),
        ]
    )

    sap_t001w_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("WERKS", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("NAME1", StringType(), True),
        ]
    )

    sap_t001_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("BUKRS", StringType(), True),
            StructField("WAERS", StringType(), True),
        ]
    )

    # Create empty DataFrames with schemas
    sap_mara = spark.createDataFrame([], sap_mara_schema)
    sap_mbew = spark.createDataFrame([], sap_mbew_schema)
    sap_marc = spark.createDataFrame([], sap_marc_schema)
    sap_t001k = spark.createDataFrame([], sap_t001k_schema)
    sap_t001w = spark.createDataFrame([], sap_t001w_schema)
    sap_t001 = spark.createDataFrame([], sap_t001_schema)

    # Execute integration
    result_df = integration(sap_mara, sap_mbew, sap_marc, sap_t001k, sap_t001w, sap_t001)

    # Verify result is empty DataFrame
    assert result_df.count() == 0

test_integration_happy_path(spark)

Test integration with complete matching data.

Source code in code\tests\test_local_material\test_integration.py 
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
def test_integration_happy_path(spark: SparkSession):
    """Test integration with complete matching data."""
    # Setup test data
    sap_mara_data = [("100", "MAT1", "UOM1", "GMN1")]
    sap_mbew_data = [("100", "MAT1", "VAL1", "PC1", 10.0, 20.0, 1, "VC1")]
    sap_marc_data = [("ERP1", "MAT1", "PLANT1")]
    sap_t001k_data = [("100", "VAL1", "COMP1")]
    sap_t001w_data = [("100", "PLANT1", "VAL1", "Plant Name")]
    sap_t001_data = [("100", "COMP1", "USD")]

    # Create DataFrames
    sap_mara = spark.createDataFrame(sap_mara_data, ["MANDT", "MATNR", "MEINS", "GLOBAL_MATERIAL_NUMBER"])
    sap_mbew = spark.createDataFrame(
        sap_mbew_data, ["MANDT", "MATNR", "BWKEY", "VPRSV", "VERPR", "STPRS", "PEINH", "BKLAS"]
    )
    sap_marc = spark.createDataFrame(sap_marc_data, ["SOURCE_SYSTEM_ERP", "MATNR", "WERKS"])
    sap_t001k = spark.createDataFrame(sap_t001k_data, ["MANDT", "BWKEY", "BUKRS"])
    sap_t001w = spark.createDataFrame(sap_t001w_data, ["MANDT", "WERKS", "BWKEY", "NAME1"])
    sap_t001 = spark.createDataFrame(sap_t001_data, ["MANDT", "BUKRS", "WAERS"])

    # Execute integration
    result_df = integration(sap_mara, sap_mbew, sap_marc, sap_t001k, sap_t001w, sap_t001)

    # Expected data
    expected_data = [
        (
            "ERP1",
            "MAT1",
            "PLANT1",
            "100",
            "UOM1",
            "GMN1",
            "VAL1",
            "Plant Name",
            "PC1",
            10.0,
            20.0,
            1,
            "VC1",
            "COMP1",
            "USD",
        )
    ]

    # Create expected DataFrame with explicit column order
    columns = [
        "SOURCE_SYSTEM_ERP",
        "MATNR",
        "WERKS",
        "MANDT",
        "MEINS",
        "GLOBAL_MATERIAL_NUMBER",
        "BWKEY",
        "NAME1",
        "VPRSV",
        "VERPR",
        "STPRS",
        "PEINH",
        "BKLAS",
        "BUKRS",
        "WAERS",
    ]

    expected_df = spark.createDataFrame(expected_data, columns)

    # Ensure result has same column order before comparison
    result_df_ordered = result_df.select(*columns)

    assertDataFrameEqual(result_df_ordered, expected_df)

test_integration_null_values(spark)

Test integration with null values.

Source code in code\tests\test_local_material\test_integration.py 
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
def test_integration_null_values(spark):
    """Test integration with null values."""
    # Define schemas with explicit types
    sap_mara_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("MEINS", StringType(), True),
            StructField("GLOBAL_MATERIAL_NUMBER", StringType(), True),
        ]
    )

    sap_mbew_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("VPRSV", StringType(), True),
            StructField("VERPR", DoubleType(), True),
            StructField("STPRS", DoubleType(), True),
            StructField("PEINH", LongType(), True),
            StructField("BKLAS", StringType(), True),
        ]
    )

    sap_marc_schema = StructType(
        [
            StructField("SOURCE_SYSTEM_ERP", StringType(), True),
            StructField("MATNR", StringType(), True),
            StructField("WERKS", StringType(), True),
        ]
    )

    sap_t001k_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("BUKRS", StringType(), True),
        ]
    )

    sap_t001w_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("WERKS", StringType(), True),
            StructField("BWKEY", StringType(), True),
            StructField("NAME1", StringType(), True),
        ]
    )

    sap_t001_schema = StructType(
        [
            StructField("MANDT", StringType(), True),
            StructField("BUKRS", StringType(), True),
            StructField("WAERS", StringType(), True),
        ]
    )

    # Test data with nulls
    sap_mara = spark.createDataFrame([("100", "MAT1", None, None)], sap_mara_schema)
    sap_mbew = spark.createDataFrame([("100", "MAT1", "VAL1", None, None, None, None, None)], sap_mbew_schema)
    sap_marc = spark.createDataFrame([("ERP1", "MAT1", "PLANT1")], sap_marc_schema)
    sap_t001k = spark.createDataFrame([("100", "VAL1", None)], sap_t001k_schema)
    sap_t001w = spark.createDataFrame([("100", "PLANT1", "VAL1", None)], sap_t001w_schema)
    sap_t001 = spark.createDataFrame([("100", None, None)], sap_t001_schema)

    # Execute integration
    result_df = integration(sap_mara, sap_mbew, sap_marc, sap_t001k, sap_t001w, sap_t001)

    # Verify results
    assert result_df.count() > 0, "Result DataFrame should not be empty"

    # Get first row
    first_row = result_df.first()
    assert first_row is not None, "First row should not be None"

    # Verify null values in specific columns
    assert first_row["MEINS"] is None, "MEINS column should be None"
    assert first_row["GLOBAL_MATERIAL_NUMBER"] is None, "GLOBAL_MATERIAL_NUMBER column should be None"