PIPELINE-1860 Added Ecuador normalization pipeline

packages/pipe-vms-ingestion/tests/vms_ingestion/normalization/feeds/data/raw_ecuador.json

@@ -0,0 +1,40 @@
+[
+  {
+    "timestamp": "2024-04-20 08:14:00+00:00",
+    "shipname": "NAUTILUS XXX",
+    "ssvid": "98765",
+    "imo": null,
+    "mmsi": null,
+    "callsign": "TN-00-01234",
+    "utc_time": "2024-04-20 08:14:00+00:00",
+    "fechaqth": "2024-04-20 03:14:00+00:00",
+    "idnave": "98765",
+    "idqth": "202211234",
+    "lat": -2.19445,
+    "lon": -80.0178,
+    "matriculanave": "TN-00-01234",
+    "mmsi_1": null,
+    "nombrenave": "NAUTILUS XXX",
+    "rumbo": 117,
+    "velocidad": 5
+  },
+  {
+    "timestamp": "2024-04-20 08:00:00+00:00",
+    "shipname": "GUAYATUNA DOS",
+    "ssvid": "12345",
+    "imo": null,
+    "mmsi": "735012345",
+    "callsign": "P -00-00123",
+    "utc_time": "2024-04-20 08:00:00+00:00",
+    "fechaqth": "2024-04-20 03:00:00+00:00",
+    "idnave": "12345",
+    "idqth": "202203405",
+    "lat": -7.611016,
+    "lon": -101.358451,
+    "matriculanave": "P -00-00123",
+    "mmsi_1": "735012345",
+    "nombrenave": "SANTA MARTA DOS",
+    "rumbo": 72,
+    "velocidad": 13
+  }
+]

packages/pipe-vms-ingestion/tests/vms_ingestion/normalization/feeds/test_ecu_normalize.py

@@ -0,0 +1,118 @@
+import os
+import unittest
+from datetime import date, datetime, timezone
+
+import apache_beam as beam
+from apache_beam import pvalue
+from apache_beam.testing.test_pipeline import TestPipeline
+from apache_beam.testing.util import assert_that
+from tests.util import pcol_equal_to, read_json
+from vms_ingestion.normalization import build_pipeline_options_with_defaults
+from vms_ingestion.normalization.feeds.ecu_normalize import ECUNormalize
+
+script_path = os.path.dirname(os.path.abspath(__file__))
+
+
+class TestECUNormalize(unittest.TestCase):
+
+    options = build_pipeline_options_with_defaults(
+        argv=[
+            "--country_code=ecu",
+            '--source=""',
+            '--destination=""',
+            '--start_date=""',
+            '--end_date=""',
+        ]
+    )
+
+    # Our input data, which will make up the initial PCollection.
+    RECORDS = [
+        {
+            **x,
+            "utc_time": datetime.fromisoformat(x["utc_time"]),
+        }
+        for x in read_json(f"{script_path}/data/raw_ecuador.json")
+    ]
+
+    # Our output data, which is the expected data that the final PCollection must match.
+    EXPECTED = [
+        {
+            "callsign": "TN-00-01234",
+            "class_b_cs_flag": None,
+            "course": 117.0,
+            "destination": None,
+            "heading": None,
+            "imo": None,
+            "ingested_at": None,
+            "internal_id": "98765",
+            "lat": -2.19445,
+            "length": None,
+            "lon": -80.0178,
+            "msgid": "0ac0577b3ac22f039da88b4707f42f4f",
+            "received_at": None,
+            "receiver": None,
+            "receiver_type": None,
+            "shipname": "NAUTILUS XXX",
+            "shiptype": "NATIONAL TRAFFIC",
+            "source": "ECUADOR_VMS",
+            "source_fleet": None,
+            "source_provider": "DIRNEA",
+            "source_ssvid": "98765",
+            "source_tenant": "ECU",
+            "source_type": "VMS",
+            "speed": 5.0,
+            "ssvid": "ECU|i:98765|s:NAUTILUS30|c:TN0001234",
+            "status": None,
+            "timestamp": datetime(2024, 4, 20, 8, 14, tzinfo=timezone.utc),
+            "timestamp_date": date(2024, 4, 20),
+            "type": "VMS",
+            "width": None,
+        },
+        {
+            "callsign": "P -00-00123",
+            "class_b_cs_flag": None,
+            "course": 72.0,
+            "destination": None,
+            "heading": None,
+            "imo": None,
+            "ingested_at": None,
+            "internal_id": "12345",
+            "lat": -7.611016,
+            "length": None,
+            "lon": -101.358451,
+            "msgid": "b72ff16e9bbac5e90ff6d4b7b499b023",
+            "received_at": None,
+            "receiver": None,
+            "receiver_type": None,
+            "shipname": "SANTA MARTA DOS",
+            "shiptype": "FISHING",
+            "source": "ECUADOR_VMS",
+            "source_fleet": None,
+            "source_provider": "DIRNEA",
+            "source_ssvid": "12345",
+            "source_tenant": "ECU",
+            "source_type": "VMS",
+            "speed": 13.0,
+            "ssvid": "ECU|i:12345|s:SANTAMARTA2|c:P0000123",
+            "status": None,
+            "timestamp": datetime(2024, 4, 20, 8, 0, tzinfo=timezone.utc),
+            "timestamp_date": date(2024, 4, 20),
+            "type": "VMS",
+            "width": None,
+        },
+    ]
+
+    # Example test that tests the pipeline's transforms.
+    def test_normalize(self):
+        with TestPipeline(options=TestECUNormalize.options) as p:
+
+            # Create a PCollection from the RECORDS static input data.
+            input = p | beam.Create(TestECUNormalize.RECORDS)
+
+            # Run ALL the pipeline's transforms (in this case, the Normalize transform).
+            output: pvalue.PCollection = input | ECUNormalize(feed="ecu")
+
+            # Assert that the output PCollection matches the EXPECTED data.
+            assert_that(
+                output, pcol_equal_to(TestECUNormalize.EXPECTED), label="CheckOutput"
+            )

packages/pipe-vms-ingestion/tests/vms_ingestion/normalization/transforms/test_ecu_map_source_message.py

@@ -0,0 +1,93 @@
+import unittest
+from datetime import datetime
+
+import apache_beam as beam
+import pytest
+from apache_beam import pvalue
+from apache_beam.testing.test_pipeline import TestPipeline
+from apache_beam.testing.util import assert_that
+from tests.util import pcol_equal_to
+from vms_ingestion.normalization import build_pipeline_options_with_defaults
+from vms_ingestion.normalization.transforms.ecu_map_source_message import (
+    ECUMapSourceMessage,
+    ecu_infer_shiptype,
+)
+
+
+class TestECUMapSourceMessage(unittest.TestCase):
+    options = build_pipeline_options_with_defaults(
+        argv=[
+            "--country_code=ecu",
+            '--source=""',
+            '--destination=""',
+            '--start_date=""',
+            '--end_date=""',
+        ]
+    )
+    # Our input data, which will make up the initial PCollection.
+    RECORDS = [
+        {
+            "utc_time": datetime.fromisoformat("2024-01-01 09:07:00+00:00"),
+            "fechaqth": datetime.fromisoformat("2024-01-01 04:07:00+00:00"),
+            "idnave": "98765",
+            "idqth": "205703882",
+            "lat": -2.5014833333,
+            "lon": -79.82605,
+            "matriculanave": "B -00-123456",
+            "mmsi": None,
+            "nombrenave": "SANTA MARIA I",
+            "rumbo": "42",
+            "velocidad": "21",
+        },
+    ]
+
+    # Our output data, which is the expected data that the final PCollection must match.
+    EXPECTED = [
+        {
+            "callsign": "B -00-123456",
+            "course": 42.0,
+            "internal_id": "98765",
+            "lat": -2.5014833333,
+            "lon": -79.82605,
+            "shipname": "SANTA MARIA I",
+            "shiptype": "boat",
+            "speed": 21.0,
+            "timestamp": datetime.fromisoformat("2024-01-01 09:07:00+00:00"),
+        }
+    ]
+
+    # Tests the transform.
+    def test_ecu_map_source_message(self):
+        with TestPipeline(options=TestECUMapSourceMessage.options) as p:
+
+            # Create a PCollection from the RECORDS static input data.
+            input = p | beam.Create(TestECUMapSourceMessage.RECORDS)
+
+            # Run ALL the pipeline's transforms (in this case, the Normalize transform).
+            output: pvalue.PCollection = input | ECUMapSourceMessage()
+
+            # Assert that the output PCollection matches the EXPECTED data.
+            assert_that(
+                output,
+                pcol_equal_to(TestECUMapSourceMessage.EXPECTED),
+                label="CheckOutput",
+            )
+
+
+@pytest.mark.parametrize(
+    "matriculanave,shiptype",
+    [
+        ("B -00-11615", "boat"),
+        ("DA-00-00545", "auxiliary"),
+        (" B-07-04088 ", "boat"),
+        ("TN -03-10534", "national traffic"),
+        ("TI-00-00002", "international traffic"),
+        ("P -00-00022", "fishing"),
+        ("R -00-00107", "tug"),
+        ("     ", "unknown"),
+        (None, "unknown"),
+        ("4040077351SP", "unknown"),
+    ],
+)
+def test_ecu_infer_shiptype(matriculanave, shiptype):
+    assert ecu_infer_shiptype(matriculanave) == shiptype

packages/pipe-vms-ingestion/vms_ingestion/normalization/feed_normalization_factory.py

@@ -2,6 +2,7 @@
 from vms_ingestion.normalization.feeds.bra_normalize import BRANormalize
 from vms_ingestion.normalization.feeds.chl_normalize import CHLNormalize
 from vms_ingestion.normalization.feeds.cri_normalize import CRINormalize
+from vms_ingestion.normalization.feeds.ecu_normalize import ECUNormalize
 
 
 class FeedNormalizationFactory:
@@ -15,5 +16,7 @@ def get_normalization(feed) -> beam.PTransform:
             return CHLNormalize(feed=feed_id)
         elif feed_id == "cri":
             return CRINormalize(feed=feed_id)
+        elif feed_id == "ecu":
+            return ECUNormalize(feed=feed_id)
         else:
             raise ValueError(feed)

packages/pipe-vms-ingestion/vms_ingestion/normalization/feeds/ecu_normalize.py

@@ -0,0 +1,27 @@
+import apache_beam as beam
+from vms_ingestion.normalization.transforms.ecu_map_source_message import (
+    ECUMapSourceMessage,
+)
+from vms_ingestion.normalization.transforms.map_normalized_message import (
+    MapNormalizedMessage,
+)
+
+
+class ECUNormalize(beam.PTransform):
+
+    def __init__(self, feed) -> None:
+        self.feed = feed
+        self.source_provider = "DIRNEA"
+        self.source_format = "ECUADOR_VMS"
+
+    def expand(self, pcoll):
+
+        return (
+            pcoll
+            | ECUMapSourceMessage()
+            | MapNormalizedMessage(
+                feed=self.feed,
+                source_provider=self.source_provider,
+                source_format=self.source_format,
+            )
+        )

packages/pipe-vms-ingestion/vms_ingestion/normalization/transforms/ecu_map_source_message.py

@@ -0,0 +1,50 @@
+# from datetime import datetime
+
+import re
+
+import apache_beam as beam
+
+SHIPTYPE_BY_MATRICULA = {
+    "TI": "international traffic",
+    "TN": "national traffic",
+    "P": "fishing",
+    "R": "tug",
+    "B": "boat",
+    "DA": "auxiliary",
+}
+
+
+def ecu_map_source_message(msg):
+    return {
+        "shipname": f'{msg["nombrenave"]}'.strip(),
+        "timestamp": msg["utc_time"],
+        "lat": float(msg["lat"]),
+        "lon": float(msg["lon"]),
+        "speed": float(msg["velocidad"]) if msg.get("velocidad") is not None else None,
+        "course": float(msg["rumbo"]) if msg.get("rumbo") is not None else None,
+        "internal_id": f'{msg["idnave"]}' if msg.get("idnave") else None,
+        "shiptype": ecu_infer_shiptype(msg["matriculanave"]),
+        "callsign": f'{msg["matriculanave"]}',
+    }
+
+
+def ecu_infer_shiptype(matriculanave):
+    # This code set the type fishing for matriculanave that starts with a
+    # set of specific strings
+    prefixes = "|".join(list(SHIPTYPE_BY_MATRICULA.keys()))
+    p = re.compile(f"^({prefixes}).*$")
+    code = f"{matriculanave}".upper().strip()
+
+    m = p.match(code)
+    if m:
+        return SHIPTYPE_BY_MATRICULA[m.group(1)]
+
+    return "unknown"
+
+
+class ECUMapSourceMessage(beam.PTransform):
+
+    def expand(self, pcoll):
+        return pcoll | "Preliminary source fields mapping" >> beam.Map(
+            ecu_map_source_message
+        )