diff --git a/.gitignore b/.gitignore index bb4b50fc..32c9cd0d 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,4 @@ **/**/*pycache* /*venv .vscode/ +.idea/ diff --git a/README.md b/README.md index 27b4a9da..199764aa 100644 --- a/README.md +++ b/README.md @@ -42,6 +42,58 @@ Included is a [random data generator][random-fire] which will generate data in l ### Testing You can run tests locally with via `./run_tests.sh` or view the [CI test results here][travis-ci] +### Spark +Fire pyspark module ensures data flows according to the FIRE data model specification, +resulting in high quality standards used for the transmission and processing of regulatory data. +We ensure raw data is schematized according to fire entities specifications and curated based on entities constraints. + +#### Schematizing raw records + +Even though records may sometimes "look" structured (e.g. JSON files), enforcing a schema is not just a good +practice; in enterprise settings, it guarantees any missing field is still expected, unexpected fields are +discarded and data types are fully evaluated (e.g. a date should be treated as a date object and not a string). +In the example below, we enforce schema to incoming CSV files for the collateral. +This process is called data schematization. + +```python +from fire.spark import FireModel +fire_model = FireModel().load("collateral") +fire_schema = fire_model.schema + +collateral_df = spark \ + .read \ + .format("csv") \ + .schema(fire_schema) \ + .load("/path/to/raw/data") +``` + +#### Constraints + +Applying a schema is one thing, enforcing its constraints is another. +Given the multiplicity properties of an entity, we can detect if a field is mandatory or not. +With an enumeration object, we ensure its values consistency. + +```python +from fire.spark import FireModel +fire_model = FireModel().load("collateral") +fire_constraints = fire_model.constraints +``` + +The resulting constraints (expressed as spark SQL) can be evaluated on spark dataframe, on batch or in real time. + +```python +from pyspark.sql import functions as F + +@F.udf("array") +def failed_expectations(expectations): + return [name for name, success in zip(constraints, expectations) if not success] + +collateral_invalid = collateral_df \ + .withColumn("_fire", F.array([F.expr(value) for value in expectations.values()])) \ + .withColumn("_fire", failed_expectations("_fire")) \ + .filter(F.size("_fire") > 0) +``` + --- [fire]: https://suade.org/fire/ diff --git a/fire/__init__.py b/fire/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/fire/spark.py b/fire/spark.py new file mode 100644 index 00000000..a8477a15 --- /dev/null +++ b/fire/spark.py @@ -0,0 +1,371 @@ +import os +from pyspark.sql.types import StructType, \ + StructField, StringType, DoubleType, \ + IntegerType, BooleanType, DateType, TimestampType, ArrayType +import pkg_resources +import json + + +def load_json(json_file): + if not os.path.exists(json_file): + raise Exception("Could not find file {}".format(json_file)) + with open(json_file) as f: + return json.loads(f.read()) + + +def extract_constraints(schema, parent=None): + constraints = [] + fields = schema.fields + for field in fields: + if parent: + sql_name = "{}.`{}`".format(parent, field.name) + else: + sql_name = "`{}`".format(field.name) + for exp in field.metadata['constraints']: + constraints.append(exp.format(sql_name)) + if isinstance(field.dataType, StructType): + extract_constraints(field.dataType, sql_name) + return constraints + + +class FireEntity: + + def __init__(self, schema, constraints): + self.schema = schema + self.constraints = constraints + + +class FireModel: + + def __init__(self, fire_directory=None): + if not fire_directory: + fire_directory = pkg_resources.resource_filename( + self.__module__, + 'data/' + ) + self.fire_directory = fire_directory + + def __get_array_type(self, tpe, fmt, prp): + if tpe == "object": + nested_prp = prp['properties'] + nested_fields = nested_prp.keys() + nested_required = set(prp['required']) + nested_structs = [] + for nested_field in nested_fields: + nested_field_nullable = nested_field not in nested_required + nested_property = nested_prp[nested_field] + nested_struct = self.__process_property( + nested_field, + nested_field_nullable, + nested_property, + None + ) + nested_structs.append(nested_struct) + return StructType(nested_structs) + elif tpe == "number": + return DoubleType() + elif tpe == "integer": + return IntegerType() + elif tpe == "boolean": + return BooleanType() + elif tpe == "string": + if not fmt: + return StringType() + elif fmt == "date": + return DateType() + elif fmt == "date-time": + return TimestampType() + raise Exception("Unsupported type {}".format(tpe)) + + ''' + Converting a FIRE field into a Spark type + Simple mapping exercise for atomic types (number, string, etc), + this process becomes complex for nested entities + For entities of type object, we recursively parse object + and map their respective types into StructTypes + For list, we recursively call that function to extract entity types + ''' + def __process_property_type(self, name, tpe, nullable, fmt, prp, dsc): + + if tpe == "object": + # Nested field, we must read its underlying properties + # Return a complex struct type + struct = StructType(self.__load_object(prp)) + constraints = self.__validate(nullable) + return StructField( + name, + struct, + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if tpe == "array": + # Array type, we need to read its underlying properties + # Recursive call + nested_prp = prp['items'] + nested_tpe = nested_prp['type'] + nested_fmt = nested_prp.get('format', None) + struct = ArrayType( + self.__get_array_type(nested_tpe, nested_fmt, nested_prp) + ) + constraints = self.__validate_arrays(prp, nullable) + return StructField( + name, + struct, + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if tpe == "number": + constraints = self.__validate_numbers(prp, nullable) + return StructField( + name, + DoubleType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if tpe == "integer": + constraints = self.__validate_numbers(prp, nullable) + return StructField( + name, + IntegerType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if tpe == "boolean": + constraints = self.__validate(nullable) + return StructField( + name, + BooleanType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if tpe == "string": + if not fmt: + constraints = self.__validate_strings(prp, nullable) + return StructField( + name, + StringType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if fmt == "date-time": + constraints = self.__validate_dates(prp, nullable) + return StructField( + name, + TimestampType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + if fmt == "date": + constraints = self.__validate_dates(prp, nullable) + return StructField( + name, + DateType(), + nullable, + metadata={"desc": dsc, "constraints": constraints} + ) + + raise Exception( + "Unsupported type {} for field {}".format(tpe, name) + ) + + def __validate_strings(self, prp, nullable): + constraints = self.__validate(nullable) + minimum = prp.get('minLength', None) + maximum = prp.get('maxLength', None) + enum = prp.get('enum', None) + + if enum: + enums = ','.join(["'{}'".format(e) for e in enum]) + exp = "{{0}} IS NULL OR {{0}} IN ({})".format(enums) + constraints.append(exp) + + if minimum and maximum: + exp = "{{0}} IS NULL OR LENGTH({{0}}) IS BETWEEN {} AND {}".\ + format(int(minimum), int(maximum)) + constraints.append(exp) + elif minimum: + exp = "{{0}} IS NULL OR LENGTH({{0}}) >= {}".\ + format(int(minimum)) + constraints.append(exp) + elif maximum: + exp = "{{0}} IS NULL OR LENGTH({{0}}) <= {}".\ + format(int(maximum)) + constraints.append(exp) + return constraints + + def __validate_dates(self, prp, nullable): + constraints = self.__validate(nullable) + minimum = prp.get('minimum', None) + maximum = prp.get('maximum', None) + if minimum and maximum: + exp = "{{0}} IS NULL OR {{0}} IS BETWEEN '{}' AND '{}'".\ + format(str(minimum), str(maximum)) + constraints.append(exp) + elif minimum: + exp = "{{0}} IS NULL OR {{0}} >= '{}'".\ + format(str(minimum)) + constraints.append(exp) + elif maximum: + exp = "{{0}} IS NULL OR {{0}} <= '{}'".\ + format(str(maximum)) + constraints.append(exp) + return constraints + + def __validate_numbers(self, prp, nullable): + constraints = self.__validate(nullable) + minimum = prp.get('minimum', None) + maximum = prp.get('maximum', None) + if minimum and maximum: + exp = "{{0}} IS NULL OR {{0}} IS BETWEEN {} AND {}".\ + format(float(minimum), float(maximum)) + constraints.append(exp) + elif minimum: + exp = "{{0}} IS NULL OR {{0}} >= {}".\ + format(float(minimum)) + constraints.append(exp) + elif maximum: + exp = "{{0}} IS NULL OR {{0}} <= {}".\ + format(float(maximum)) + constraints.append(exp) + return constraints + + def __validate_arrays(self, prp, nullable): + constraints = self.__validate(nullable) + # we cannot validate the integrity of each field + # without exploding array or running complex UDFs + # we simply check for array size for now + minimum = prp.get('minItems', None) + maximum = prp.get('maxItems', None) + if minimum and maximum: + exp = "{{0}} IS NULL OR SIZE({{0}}) IS BETWEEN {} AND {}"\ + .format(float(minimum), float(maximum)) + constraints.append(exp) + elif minimum: + exp = "{{0}} IS NULL OR SIZE({{0}}) >= {}"\ + .format(float(minimum)) + constraints.append(exp) + elif maximum: + exp = "{{0}} IS NULL OR SIZE({{0}}) <= {}"\ + .format(float(maximum)) + constraints.append(exp) + return constraints + + @staticmethod + def __validate(nullable): + constraints = [] + if not nullable: + exp = "{0} IS NOT NULL" + constraints.append(exp) + return constraints + + ''' + Process a fire property (i.e. a field) given a name and a property object + A field may be a reference to a common object such as currency code, + so recursive call may be required + We look at field description + ''' + def __process_property(self, name, nullable, prp, parent_dsc): + + dsc = prp.get('description', None) + if parent_dsc: + # we prefer entity specific description if any rather than generic + # parent takes precedence + dsc = parent_dsc + + tpe = prp.get('type', None) + fmt = prp.get('format', None) + ref = prp.get('$ref', None) + + # processing referenced property + if ref: + + # retrieve the name of the Json file and + # the name of the entity to load + ref_object = ref.split('/')[-1] + ref_json = ref.split('#')[0].split('/')[-1] + + # parsing json + ref_json_file = os.path.join(self.fire_directory, ref_json) + ref_json_model = load_json(ref_json_file) + if ref_object not in ref_json_model.keys(): + raise Exception( + "Referencing non existing property {}".format(ref_object) + ) + + # processing inline property + ref_property = ref_json_model[ref_object] + return self.__process_property(name, nullable, ref_property, dsc) + + # processing property + struct = self.__process_property_type( + name, + tpe, + nullable, + fmt, + prp, + dsc + ) + return struct + + ''' + Some entities may be built as a supertype to other entities + Example: A customer is a supertype to a person entity + We load that entire referenced entity as we would + be loading any object, parsing json file into spark schema + ''' + def __load_reference(self, ref): + ref_object = ref.split('/')[-1] + ref_json_file = os.path.join(self.fire_directory, ref_object) + ref_json_model = load_json(ref_json_file) + return self.__load_object(ref_json_model) + + ''' + Core business logic, we process a given entity from a json object + An entity contains metadata (e.g. description), + required field definition and property value + We extract each property, map them to their spark + type and return the spark schema for that given entity + ''' + def __load_object(self, model): + required = model['required'] + fields = model['properties'] + schema = [] + + # Processing fields + for field in fields.keys(): + prp = fields[field] + nullable = field not in required + struct = self.__process_property(field, nullable, prp, None) + schema.append(struct) + + # Adding referenced entities + if "allOf" in model.keys(): + for ref in model['allOf']: + schema.extend(self.__load_reference(ref['$ref'])) + + return schema + + ''' + Entry point, given a name of an entity, + we access and parse underlying json object + We retrieve all fields, referenced entities, + metadata as a spark schema + ''' + def load(self, model): + json_file = os.path.join(self.fire_directory, "{}.json".format(model)) + json_model = load_json(json_file) + tpe = json_model.get('type', None) + if not tpe or tpe != "object": + raise Exception("Can only process entities of type object") + + struct = self.__load_object(json_model) + schema = StructType(struct) + constraints = extract_constraints(schema) + return FireEntity(schema, constraints) diff --git a/requirements.txt b/requirements.txt index ea7d5839..38f163c8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,2 +1,3 @@ fake-factory==0.5.7 iso3166==0.8 +pyspark==3.0.3 \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 00000000..f48a4a94 --- /dev/null +++ b/setup.py @@ -0,0 +1,27 @@ +import setuptools +from setuptools import find_packages +import os + + +try: + # https://stackoverflow.com/questions/4519127/setuptools-package-data-folder-location + os.symlink(os.path.join(os.pardir, 'v1-dev'), 'fire/data') + setuptools.setup( + name='fire-spark', + version='1.0', + author='Antoine Amend', + author_email='antoine.amend@databricks.com', + description='Mapping fire model into spark operations', + long_description_content_type='text/markdown', + url='https://github.com/SuadeLabs/fire', + packages=find_packages(where='.', include=['fire']), + package_data={'fire': ['data/*.json']}, + extras_require=dict(tests=["pytest"]), + include_package_data=True, + classifiers=[ + 'Programming Language :: Python :: 3', + 'Operating System :: OS Independent', + ], + ) +finally: + os.unlink('fire/data') diff --git a/tests/data/collateral.json b/tests/data/collateral.json new file mode 100644 index 00000000..e8ff6621 --- /dev/null +++ b/tests/data/collateral.json @@ -0,0 +1,1000 @@ +{"id": "0", "date": "2021-07-14T19:05:54Z", "charge": 8863, "currency_code": "GMD", "encumbrance_amount": 15576, "encumbrance_type": "none", "end_date": "2045-05-15T03:24:48Z", "source": "environmental", "start_date": "2022-07-10T02:29:55Z", "type": "other", "value": 93151, "value_date": "2036-07-31T23:39:36Z", "version_id": "friend", "vol_adj": 2.97, "vol_adj_fx": 2.92} +{"id": "1", "date": "2021-07-14T19:05:54Z", "charge": 39475, "currency_code": "BYR", "encumbrance_amount": -817, "encumbrance_type": "covered_bond", "end_date": "2035-04-23T13:07:48Z", "source": "sure", "start_date": "2039-02-28T06:58:54Z", "type": "residential_property", "value": 61811, "value_date": "2046-12-27T14:38:22Z", "version_id": "they", "vol_adj": 3.16, "vol_adj_fx": 0.27} +{"id": "2", "date": "2021-07-14T19:05:54Z", "charge": 53220, "currency_code": "MDL", "encumbrance_amount": -165, "encumbrance_type": "derivative", "end_date": "2043-04-05T07:04:42Z", "source": "attorney", "start_date": "2012-05-29T17:32:22Z", "type": "commercial_property", "value": -3526, "value_date": "2041-11-23T08:31:56Z", "version_id": "voice", "vol_adj": 0.87, "vol_adj_fx": 4.2} +{"id": "3", "date": "2021-07-14T19:05:54Z", "charge": 91406, "currency_code": "RON", "encumbrance_amount": 75811, "encumbrance_type": "none", "end_date": "2036-06-23T16:44:24Z", "source": "month", "start_date": "2037-09-17T13:29:49Z", "type": "life_policy", "value": 63923, "value_date": "2018-11-05T21:58:04Z", "version_id": "move", "vol_adj": 0.37, "vol_adj_fx": 0.79} +{"id": "4", "date": "2021-07-14T19:05:54Z", "charge": 8320, "currency_code": "SRD", "encumbrance_amount": 21250, "encumbrance_type": "covered_bond", "end_date": "2032-02-27T11:16:42Z", "source": "claim", "start_date": "2050-12-02T17:19:50Z", "type": "guarantee", "value": 93734, "value_date": "2045-01-16T05:48:59Z", "version_id": "arm", "vol_adj": 0.95, "vol_adj_fx": 4.16} +{"id": "5", "date": "2021-07-14T19:05:54Z", "charge": 12069, "currency_code": "GMD", "encumbrance_amount": 65672, "encumbrance_type": "derivative", "end_date": "2049-09-16T12:50:22Z", "source": "determine", "start_date": "2046-10-15T16:49:28Z", "type": "immovable_property", "value": 63161, "value_date": "2038-01-16T04:42:55Z", "version_id": "detail", "vol_adj": 4.27, "vol_adj_fx": 0.75} +{"id": "6", "date": "2021-07-14T19:05:54Z", "charge": 16763, "currency_code": "SEK", "encumbrance_amount": 41070, "encumbrance_type": "other", "end_date": "2030-08-10T20:22:08Z", "source": "civil", "start_date": "2011-12-30T18:50:14Z", "type": "cash", "value": 5071, "value_date": "2031-05-02T09:38:35Z", "version_id": "issue", "vol_adj": 0.23, "vol_adj_fx": 1.59} +{"id": "7", "date": "2021-07-14T19:05:54Z", "charge": 17107, "currency_code": "FKP", "encumbrance_amount": 99570, "encumbrance_type": "other", "end_date": "2049-11-06T02:22:13Z", "source": "manager", "start_date": "2050-04-05T09:31:38Z", "type": "guarantee", "value": 57441, "value_date": "2027-05-09T20:44:32Z", "version_id": "whatever", "vol_adj": 2.96, "vol_adj_fx": 4.49} +{"id": "8", "date": "2021-07-14T19:05:54Z", "charge": 33635, "currency_code": "MXN", "encumbrance_amount": 75104, "encumbrance_type": "covered_bond", "end_date": "2012-05-05T02:56:16Z", "source": "great", "start_date": "2033-03-15T11:04:30Z", "type": "debenture", "value": 15242, "value_date": "2030-05-04T14:20:16Z", "version_id": "thank", "vol_adj": 1.03, "vol_adj_fx": 3.14} +{"id": "9", "date": "2021-07-14T19:05:54Z", "charge": 74021, "currency_code": "PLN", "encumbrance_amount": 79450, "encumbrance_type": "other", "end_date": "2012-05-29T01:45:59Z", "source": "yes", "start_date": "2043-05-20T21:17:03Z", "type": "cash", "value": 48100, "value_date": "2011-12-30T17:42:31Z", "version_id": "agree", "vol_adj": 1.53, "vol_adj_fx": 1.54} +{"id": "10", "date": "2021-07-14T19:05:54Z", "charge": 39900, "currency_code": "TVD", "encumbrance_amount": 14215, "encumbrance_type": "repo", "end_date": "2043-01-18T18:30:43Z", "source": "move", "start_date": "2015-05-28T03:04:15Z", "type": "debenture", "value": 89272, "value_date": "2034-11-30T06:16:24Z", "version_id": "office", "vol_adj": 2.65, "vol_adj_fx": 4.44} +{"id": "11", "date": "2021-07-14T19:05:54Z", "charge": 55447, "currency_code": "AZN", "encumbrance_amount": 37375, "encumbrance_type": "other", "end_date": "2050-12-29T12:44:32Z", "source": "join", "start_date": "2030-05-09T19:02:17Z", "type": "immovable_property", "value": -3912, "value_date": "2026-12-23T23:07:39Z", "version_id": "western", "vol_adj": 4.96, "vol_adj_fx": 4.5} +{"id": "12", "date": "2021-07-14T19:05:54Z", "charge": 65729, "currency_code": "CUP", "encumbrance_amount": 77241, "encumbrance_type": "real_estate", "end_date": "2014-03-26T01:42:26Z", "source": "effort", "start_date": "2017-09-27T02:35:33Z", "type": "other", "value": 43526, "value_date": "2038-10-16T09:36:39Z", "version_id": "protect", "vol_adj": 3.31, "vol_adj_fx": 1.63} +{"id": "13", "date": "2021-07-14T19:05:54Z", "charge": 1582, "currency_code": "MZN", "encumbrance_amount": 9281, "encumbrance_type": "covered_bond", "end_date": "2037-12-05T16:20:33Z", "source": "people", "start_date": "2040-02-21T05:31:17Z", "type": "guarantee", "value": 10379, "value_date": "2013-08-07T03:29:43Z", "version_id": "himself", "vol_adj": 0.75, "vol_adj_fx": 3.6} +{"id": "14", "date": "2021-07-14T19:05:54Z", "charge": 57002, "currency_code": "BHD", "encumbrance_amount": 98108, "encumbrance_type": "real_estate", "end_date": "2021-03-19T14:56:52Z", "source": "popular", "start_date": "2050-10-08T11:41:45Z", "type": "immovable_property", "value": 46384, "value_date": "2029-09-16T17:34:34Z", "version_id": "bit", "vol_adj": 2.73, "vol_adj_fx": 4.88} +{"id": "15", "date": "2021-07-14T19:05:54Z", "charge": 76099, "currency_code": "BTN", "encumbrance_amount": 35273, "encumbrance_type": "none", "end_date": "2030-01-25T08:01:29Z", "source": "term", "start_date": "2032-04-07T17:07:07Z", "type": "immovable_property", "value": 64904, "value_date": "2021-12-22T13:06:36Z", "version_id": "kitchen", "vol_adj": 4.52, "vol_adj_fx": 1.42} +{"id": "16", "date": "2021-07-14T19:05:54Z", "charge": 58869, "currency_code": "TVD", "encumbrance_amount": 74816, "encumbrance_type": "other", "end_date": "2027-02-16T08:22:37Z", "source": "lot", "start_date": "2050-05-30T23:32:16Z", "type": "other", "value": -9948, "value_date": "2020-07-06T02:23:01Z", "version_id": "wrong", "vol_adj": 4.03, "vol_adj_fx": 0.7} +{"id": "17", "date": "2021-07-14T19:05:54Z", "charge": 2189, "currency_code": "RWF", 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"2025-12-18T02:40:26Z", "version_id": "audience", "vol_adj": 3.95, "vol_adj_fx": 0.19} +{"id": "996", "date": "2021-07-14T19:05:54Z", "charge": 80478, "currency_code": "KHR", "encumbrance_amount": 44837, "encumbrance_type": "derivative", "end_date": "2012-11-27T15:16:07Z", "source": "carry", "start_date": "2028-11-03T00:07:03Z", "type": "guarantee", "value": 5, "value_date": "2027-05-26T23:21:23Z", "version_id": "adult", "vol_adj": 0.7, "vol_adj_fx": 3.64} +{"id": "997", "date": "2021-07-14T19:05:54Z", "charge": 12620, "currency_code": "KGS", "encumbrance_amount": 36643, "encumbrance_type": "derivative", "end_date": "2022-11-14T12:07:06Z", "source": "total", "start_date": "2028-05-09T19:08:14Z", "type": "commercial_property", "value": 70862, "value_date": "2044-01-09T11:20:42Z", "version_id": "treat", "vol_adj": 0.91, "vol_adj_fx": 4.16} +{"id": "998", "date": "2021-07-14T19:05:54Z", "charge": 73226, "currency_code": "AUD", "encumbrance_amount": 17554, "encumbrance_type": "none", "end_date": "2021-08-06T14:27:36Z", "source": "big", "start_date": "2044-09-13T08:59:28Z", "type": "residential_property", "value": 8787, "value_date": "2036-04-11T15:23:30Z", "version_id": "management", "vol_adj": 4.04, "vol_adj_fx": 0.25} +{"id": "999", "date": "2021-07-14T19:05:54Z", "charge": 14609, "currency_code": "KES", "encumbrance_amount": 79130, "encumbrance_type": "derivative", "end_date": "2012-02-22T01:16:07Z", "source": "task", "start_date": "2020-07-21T03:35:18Z", "type": "cash", "value": 65581, "value_date": "2036-10-02T15:48:47Z", "version_id": "base", "vol_adj": 2.08, "vol_adj_fx": 1.07} diff --git a/tests/spark_test.py b/tests/spark_test.py new file mode 100644 index 00000000..ac68e2df --- /dev/null +++ b/tests/spark_test.py @@ -0,0 +1,43 @@ +import unittest +from pyspark.sql import SparkSession +from pyspark.sql import functions as F +from fire.fire.spark import FireModel + +from . import ( + SCHEMAS_DIR +) + + +class FireSparkTest(unittest.TestCase): + + def setUp(self): + self.spark = SparkSession.\ + builder.\ + appName("FIRE_SPARK").\ + master("local").\ + getOrCreate() + + def tearDown(self): + self.spark.stop() + + def test_schema_apply(self): + files = "tests/data/collateral.json" + model = FireModel(SCHEMAS_DIR).load("collateral") + df = self.spark.read.format("json").schema(model.schema).load(files) + df.show() + self.assertEqual(1000, df.count()) + + def test_constraints_apply(self): + files = "tests/data/collateral.json" + model = FireModel(SCHEMAS_DIR).load("collateral") + constraints = model.constraints + fire_col = F.array([F.expr(c) for c in constraints]) + self.spark.read.format("json").schema(model.schema).load(files) \ + .select(F.explode(fire_col).alias("fire")) \ + .groupBy("fire") \ + .count() \ + .show() + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/test_schemas.py b/tests/test_schemas.py index 59216830..0cb934bb 100644 --- a/tests/test_schemas.py +++ b/tests/test_schemas.py @@ -233,3 +233,7 @@ def test_property_has_docs(self): doc in properties, "No property found for documenation: {}".format(doc) ) + + +if __name__ == '__main__': + unittest.main()