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datasets_f
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3 changed files with 3 additions and 107 deletions
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@ -5,7 +5,6 @@ from django.contrib.auth.password_validation import validate_password
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from django.core.validators import validate_email
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from django.core.validators import validate_email
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from django.core.exceptions import ValidationError as DjangoValidationError
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from django.core.exceptions import ValidationError as DjangoValidationError
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from django.contrib.auth import get_user_model
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from django.contrib.auth import get_user_model
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from .services.tawhiri import LATEST_DATASET_KEYWORD
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from .validators import (
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from .validators import (
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validate_custom_curve, rate_clip,
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validate_custom_curve, rate_clip,
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_rfc3339_to_timestamp, base64_to_curve
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_rfc3339_to_timestamp, base64_to_curve
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@ -22,23 +21,13 @@ PROFILE_STANDARD = "standard_profile"
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PROFILE_FLOAT = "float_profile"
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PROFILE_FLOAT = "float_profile"
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PROFILE_REVERSE = "reverse_profile"
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PROFILE_REVERSE = "reverse_profile"
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PROFILE_CUSTOM = "custom_profile"
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PROFILE_CUSTOM = "custom_profile"
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LATEST_DATASET_KEYWORD = "latest"
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SUPPORTED_PROFILES = [PROFILE_STANDARD, PROFILE_FLOAT, PROFILE_REVERSE, PROFILE_CUSTOM]
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SUPPORTED_PROFILES = [PROFILE_STANDARD, PROFILE_FLOAT, PROFILE_REVERSE, PROFILE_CUSTOM]
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class PredictionRequestSerializer(serializers.Serializer):
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class PredictionRequestSerializer(serializers.Serializer):
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launch_latitude = serializers.FloatField(min_value=-90, max_value=90)
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launch_latitude = serializers.FloatField(min_value=-90, max_value=90)
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# Deliberately unbounded. Longitude is on a circle, so every real number names
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launch_longitude = serializers.FloatField(min_value=0, max_value=360)
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# a real meridian and any interval here is a policy about typos, not places —
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# and that policy belongs to the one service that owns the wind grid. The
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# endpoint this calls, GET /api/v1/prediction, applies no longitude bound: it
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# normalises and lets the grid refuse what it cannot use.
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#
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# This field was min_value=0, narrower than that endpoint, which refused every
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# launch west of Greenwich — Canada, Greenland, Alaska. Two layers each
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# guessing at the range is what produced that, so this one no longer guesses.
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# FloatField still refuses anything that is not a number; NaN and infinity get
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# through here and are rejected by the predictor's request decoder.
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launch_longitude = serializers.FloatField()
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launch_datetime = serializers.DateTimeField()
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launch_datetime = serializers.DateTimeField()
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launch_altitude = serializers.FloatField(required=False)
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launch_altitude = serializers.FloatField(required=False)
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format = serializers.CharField(default="json")
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format = serializers.CharField(default="json")
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@ -5,12 +5,6 @@ from typing import Any
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from zoneinfo import ZoneInfo
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from zoneinfo import ZoneInfo
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from collections import OrderedDict
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from collections import OrderedDict
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# Request value meaning "let the predictor use whatever run it has loaded".
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# Lives here because this module is the one that decides what reaches the
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# predictor; the serializer imports it as its default.
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LATEST_DATASET_KEYWORD = "latest"
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class TawhiriClient:
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class TawhiriClient:
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BASE_URL = "http://127.0.0.1:8080/api/v1/prediction"
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BASE_URL = "http://127.0.0.1:8080/api/v1/prediction"
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TIMEOUT = 15
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TIMEOUT = 15
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@ -42,20 +36,7 @@ class TawhiriClient:
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query["burst_altitude"] = params.get("burst_altitude")
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query["burst_altitude"] = params.get("burst_altitude")
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query["descent_rate"] = params.get("descent_rate")
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query["descent_rate"] = params.get("descent_rate")
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query["interpolate"] = str(params.get("interpolate", False)).lower()
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query["interpolate"] = str(params.get("interpolate", False)).lower()
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# Forwarded only when the operator actually named a run.
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#query["dataset"] = cls._convert_value(params.get("dataset"))
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#
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# The predictor now honours this parameter and refuses a run it does not
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# hold, so anything that is not a real epoch must not be sent. Two values
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# reach here that are not: "" from the UI, and LATEST_DATASET_KEYWORD, the
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# serializer's default, which means "server chooses" — exactly what
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# omitting the parameter does. The `filtered` comprehension below drops
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# None but neither of these.
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#
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# A malformed epoch is deliberately still forwarded, so the predictor
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# rejects it instead of the value being quietly ignored.
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dataset = params.get("dataset")
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if dataset and dataset != LATEST_DATASET_KEYWORD:
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query["dataset"] = cls._convert_value(dataset)
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query["format"] = params.get("format", "json")
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query["format"] = params.get("format", "json")
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query["pred_type"] = "single" # <-- в конце
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query["pred_type"] = "single" # <-- в конце
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@ -1,74 +0,0 @@
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from django.test import SimpleTestCase
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from .serializers import PredictionRequestSerializer
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class LaunchLongitudeTests(SimpleTestCase):
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"""
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This API does not bound longitude. The predictor does.
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Longitude lives on a circle: every real number names a real meridian, and
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5170 is a legitimate way to write 50 E. So any interval is a policy about
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typos, not about places, and there is exactly one place that policy belongs —
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the service that owns the wind grid. Two layers each guessing at it is how the
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original defect happened: this serializer declared min_value=0, narrower than
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the endpoint it calls, and refused every launch west of Greenwich. Canada,
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Greenland and Alaska, i.e. most of the Arctic sites this product targets.
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The endpoint actually called is GET /api/v1/prediction, which applies no
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longitude bound at all — it normalises and lets the grid refuse what it cannot
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use. Mirroring that exactly is the point: this layer must never be the narrower
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one.
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Nuuk is -51.7. The same meridian written unsigned is 308.3, and that always
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worked, which is what showed the constraint was about notation, not place.
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Non-numbers are still refused here, by FloatField. NaN and infinity are not:
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FloatField parses them, and the predictor's request decoder rejects them with a
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400 (measured). Deliberately not re-checked here, so this layer keeps a single
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responsibility.
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"""
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def payload(self, lng):
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return {
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"launch_latitude": 64.1,
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"launch_longitude": lng,
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"launch_datetime": "2026-08-05T12:00:00Z",
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"launch_altitude": 0,
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"ascent_rate": 5,
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"burst_altitude": 30000,
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"descent_rate": 5,
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"profile": "standard_profile",
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}
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def assert_accepted(self, lng):
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s = PredictionRequestSerializer(data=self.payload(lng))
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self.assertTrue(s.is_valid(), f"lng={lng} rejected: {s.errors}")
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def test_accepts_a_western_launch(self):
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self.assert_accepted(-51.7)
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def test_accepts_the_same_meridian_written_unsigned(self):
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self.assert_accepted(308.3)
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def test_accepts_every_notation_the_predictor_accepts(self):
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# Measured against GET /api/v1/prediction: each of these returns 200, and
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# the pairs below name the same meridian, so each returns the same
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# trajectory as its twin. -180/180 are one meridian; 0/360 are one
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# meridian; -90/270 are one meridian.
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for lng in (-180, 180, 0, 360, -90, 270, -200, -180.0001, 359.999):
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with self.subTest(lng=lng):
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self.assert_accepted(lng)
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def test_does_not_bound_the_range(self):
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# 1e30 is nonsense, and it is the predictor that says so — it answers 400
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# "lng=1e+30 out of range". Asserting acceptance here is the explicit
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# statement that range is not this layer's job; a bound added here would
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# again risk being narrower than the service behind it.
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self.assert_accepted(1e30)
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def test_still_refuses_things_that_are_not_numbers(self):
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for lng in ("abc", None, "", []):
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with self.subTest(lng=lng):
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s = PredictionRequestSerializer(data=self.payload(lng))
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self.assertFalse(s.is_valid(), f"lng={lng!r} accepted but is not a number")
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