From 2b8d112029b983e35cd58676948b3e2fb7499dfd Mon Sep 17 00:00:00 2001 From: danielnovais-tech Date: Wed, 11 Feb 2026 07:37:29 -0300 Subject: [PATCH 1/9] refactor: streamline weight registration in SourceReliabilityWeights class --- src/quality/confidence.py | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/src/quality/confidence.py b/src/quality/confidence.py index f0ac720..e8578da 100644 --- a/src/quality/confidence.py +++ b/src/quality/confidence.py @@ -17,31 +17,34 @@ class SourceReliabilityWeights: # members that exist. WEIGHTS: dict[SourceType, float] = {} - @staticmethod - def _register(weight: float, *member_names: str) -> None: + def _register( + weight: float, + *member_names: str, + _weights: dict[SourceType, float] = WEIGHTS, + ) -> None: """Register a weight for the first SourceType member that exists.""" for name in member_names: member = getattr(SourceType, name, None) if member is not None: - SourceReliabilityWeights.WEIGHTS[cast(SourceType, member)] = weight + _weights[cast(SourceType, member)] = weight return + _register(0.95, "anatel", "ANATEL") + _register(0.90, "ibge", "IBGE") + _register(0.75, "speedtest", "SPEEDTEST") + _register(0.60, "crowdsource", "CROWDSOURCE") + _register(0.50, "manual", "MANUAL") + _register(0.40, "other", "OTHER") + _register(0.85, "starlink", "STARLINK") + + _register = staticmethod(_register) + @classmethod def get_weight(cls, source: SourceType) -> float: """Get reliability weight for a source type.""" return cls.WEIGHTS.get(source, 0.40) -# Populate weights after class definition (avoids NameError during class body exec) -SourceReliabilityWeights._register(0.95, "anatel", "ANATEL") -SourceReliabilityWeights._register(0.90, "ibge", "IBGE") -SourceReliabilityWeights._register(0.75, "speedtest", "SPEEDTEST") -SourceReliabilityWeights._register(0.60, "crowdsource", "CROWDSOURCE") -SourceReliabilityWeights._register(0.50, "manual", "MANUAL") -SourceReliabilityWeights._register(0.40, "other", "OTHER") -SourceReliabilityWeights._register(0.85, "starlink", "STARLINK") - - class ConfidenceCalculator: """Calculate confidence scores for connectivity measurements. From d48169cda8d3a266e6fabe804ff542de0da72480 Mon Sep 17 00:00:00 2001 From: danielnovais-tech Date: Wed, 11 Feb 2026 11:47:08 -0300 Subject: [PATCH 2/9] refactor: replace UTC with timezone.utc for consistent datetime handling --- .pre-commit-config.yaml | 7 ++++ .../anatel/acesso_fixo_aggregator.py | 10 +++--- scripts/anatel_api_diagnose.py | 4 ++- scripts/generate_blueprint.py | 4 +-- scripts/run_simulation.py | 4 ++- src/pipeline/bronze.py | 6 ++-- src/pipeline/fusion_engine.py | 4 +-- src/pipeline/gold.py | 14 ++++---- src/pipeline/silver.py | 6 ++-- src/quality/confidence.py | 36 +++++++++---------- src/schemas/measurement.py | 8 ++++- src/sources/anatel_parquet.py | 13 ++++--- src/sources/manual_csv.py | 10 +++--- src/sources/mock_crowdsource.py | 4 +-- src/sources/mock_speedtest.py | 4 +-- tests/test_anatel_parquet_source.py | 8 ++--- tests/test_fusion_engine.py | 16 ++++----- tests/test_quality_confidence.py | 8 ++--- tests/test_schemas.py | 4 ++- tests/test_simulation_pipeline_gr801.py | 21 ++++++----- 20 files changed, 105 insertions(+), 86 deletions(-) create mode 100644 .pre-commit-config.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..5b94076 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,7 @@ +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.1.6 + hooks: + - id: ruff + args: [--fix, --exit-non-zero-on-fix] + - id: ruff-format diff --git a/data_pipeline/anatel/acesso_fixo_aggregator.py b/data_pipeline/anatel/acesso_fixo_aggregator.py index 6a81644..84afdb8 100644 --- a/data_pipeline/anatel/acesso_fixo_aggregator.py +++ b/data_pipeline/anatel/acesso_fixo_aggregator.py @@ -2,7 +2,7 @@ import json from dataclasses import dataclass -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path from typing import Any @@ -71,12 +71,12 @@ def aggregate_acesso_fixo( group_by_technology: bool = False, strict: bool = False, ) -> AcessoFixoAggregateResult: - started_at = datetime.now(UTC) + started_at = datetime.now(timezone.utc) if df.empty: report = { "started_at": started_at.isoformat(), - "ended_at": datetime.now(UTC).isoformat(), + "ended_at": datetime.now(timezone.utc).isoformat(), "input_rows": 0, "output_rows_summary": 0, "output_rows_by_velocidade": 0, @@ -152,7 +152,7 @@ def aggregate_acesso_fixo( else: by_tec_vel = None - ended_at = datetime.now(UTC) + ended_at = datetime.now(timezone.utc) report = { "started_at": started_at.isoformat(), "ended_at": ended_at.isoformat(), @@ -186,7 +186,7 @@ def write_acesso_fixo_outputs( output_dir = Path(output_dir) output_dir.mkdir(parents=True, exist_ok=True) - ts = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + ts = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") written: dict[str, str] = {} diff --git a/scripts/anatel_api_diagnose.py b/scripts/anatel_api_diagnose.py index 0f8420b..b53c0c2 100644 --- a/scripts/anatel_api_diagnose.py +++ b/scripts/anatel_api_diagnose.py @@ -35,7 +35,9 @@ def main(api_url, search_query): packages = package_search(api_url, search_query) top_candidates = packages["results"][:5] # Get top 5 candidates print("Top Candidates:", top_candidates) - report = {"timestamp": str(datetime.now(datetime.UTC)), "top_candidates": top_candidates} + from datetime import timezone + + report = {"timestamp": str(datetime.now(timezone.utc)), "top_candidates": top_candidates} output_path = Path("output.json") with output_path.open("w") as outfile: json.dump(report, outfile, indent=4) diff --git a/scripts/generate_blueprint.py b/scripts/generate_blueprint.py index 7276775..f605a03 100644 --- a/scripts/generate_blueprint.py +++ b/scripts/generate_blueprint.py @@ -4,7 +4,7 @@ import os import re from dataclasses import dataclass -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path from typing import Any @@ -197,7 +197,7 @@ def _extract_flask_routes(py_path: Path) -> list[str]: def _render() -> str: - now = datetime.now(UTC).isoformat() + now = datetime.now(timezone.utc).isoformat() tasks_json = _read_json(REPO_ROOT / ".vscode" / "tasks.json") launch_json = _read_json(REPO_ROOT / ".vscode" / "launch.json") diff --git a/scripts/run_simulation.py b/scripts/run_simulation.py index 6787a10..e889f1d 100644 --- a/scripts/run_simulation.py +++ b/scripts/run_simulation.py @@ -99,7 +99,9 @@ def main() -> int: steps = int(args.steps or preset_steps) dt = float(args.dt or preset_dt) - run_id = datetime.now(datetime.UTC).strftime("%Y%m%dT%H%M%SZ") + from datetime import timezone + + run_id = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ") out_dir = Path(args.output_dir) / f"run_{run_id}_{args.preset}" out_dir.mkdir(parents=True, exist_ok=True) diff --git a/src/pipeline/bronze.py b/src/pipeline/bronze.py index ced5c15..e3bc99f 100644 --- a/src/pipeline/bronze.py +++ b/src/pipeline/bronze.py @@ -1,7 +1,7 @@ """Bronze layer: raw data ingestion and immutable storage.""" import json -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path from src.schemas import MeasurementSchema @@ -41,14 +41,14 @@ def ingest(self, source: DataSource) -> Path: source_dir.mkdir(parents=True, exist_ok=True) # Create filename with timestamp - timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") filename = f"{source.source_name}_{timestamp}.json" filepath = source_dir / filename # Convert measurements to dictionaries data = { "source": source.source_name, - "ingestion_timestamp": datetime.now(UTC).isoformat(), + "ingestion_timestamp": datetime.now(timezone.utc).isoformat(), "count": len(measurements), "measurements": [m.to_dict() for m in measurements], } diff --git a/src/pipeline/fusion_engine.py b/src/pipeline/fusion_engine.py index 8573f08..cbf33eb 100644 --- a/src/pipeline/fusion_engine.py +++ b/src/pipeline/fusion_engine.py @@ -9,7 +9,7 @@ import json import logging -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path try: @@ -161,7 +161,7 @@ def unify_sources(self, measurements: list[MeasurementSchema]) -> list[Measureme # Add fusion metadata if "fusion_metadata" not in measurement.metadata: measurement.metadata["fusion_metadata"] = { - "unified_at": datetime.now(UTC).isoformat(), + "unified_at": datetime.now(timezone.utc).isoformat(), "source": source, } diff --git a/src/pipeline/gold.py b/src/pipeline/gold.py index b6edb0f..6d461e1 100644 --- a/src/pipeline/gold.py +++ b/src/pipeline/gold.py @@ -2,7 +2,7 @@ import json from collections import defaultdict -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path from typing import Any @@ -132,14 +132,14 @@ def _create_agg_dict() -> dict[str, Any]: } # Save - timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") filepath = self.gold_dir / f"geographic_h3_{timestamp}.json" with open(filepath, "w") as f: json.dump( { "aggregation_type": "geographic_h3", - "timestamp": datetime.now(UTC).isoformat(), + "timestamp": datetime.now(timezone.utc).isoformat(), "cell_count": len(aggregated), "total_measurements": len(measurements), "cells": aggregated, @@ -178,14 +178,14 @@ def _aggregate_by_source(self, measurements: list[MeasurementSchema]) -> Path: del agg["confidence_sum"] # Remove intermediate sum # Save - timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") filepath = self.gold_dir / f"by_source_{timestamp}.json" with open(filepath, "w") as f: json.dump( { "aggregation_type": "by_source", - "timestamp": datetime.now(UTC).isoformat(), + "timestamp": datetime.now(timezone.utc).isoformat(), "sources": dict(source_aggregates), }, f, @@ -199,12 +199,12 @@ def _save_full_dataset(self, measurements: list[MeasurementSchema]) -> Path: This is the primary consumption endpoint with all enrichments applied. """ - timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") filepath = self.gold_dir / f"full_dataset_{timestamp}.json" data = { "dataset_type": "full_enriched", - "timestamp": datetime.now(UTC).isoformat(), + "timestamp": datetime.now(timezone.utc).isoformat(), "count": len(measurements), "measurements": [m.to_dict() for m in measurements], } diff --git a/src/pipeline/silver.py b/src/pipeline/silver.py index 1de6723..1fd6f73 100644 --- a/src/pipeline/silver.py +++ b/src/pipeline/silver.py @@ -1,7 +1,7 @@ """Silver layer: normalized, validated, and deduplicated data.""" import json -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path import h3 @@ -154,12 +154,12 @@ def _save(self, measurements: list[MeasurementSchema]) -> Path: Returns: Path to saved file """ - timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") filename = f"silver_{timestamp}.json" filepath = self.silver_dir / filename data = { - "processed_timestamp": datetime.now(UTC).isoformat(), + "processed_timestamp": datetime.now(timezone.utc).isoformat(), "count": len(measurements), "measurements": [m.to_dict() for m in measurements], } diff --git a/src/quality/confidence.py b/src/quality/confidence.py index e8578da..60ba329 100644 --- a/src/quality/confidence.py +++ b/src/quality/confidence.py @@ -1,6 +1,6 @@ """Confidence score calculation for measurements.""" -from datetime import UTC, datetime +from datetime import datetime, timezone from typing import cast from src.schemas import ConfidenceBreakdown, MeasurementSchema, SourceType @@ -17,34 +17,30 @@ class SourceReliabilityWeights: # members that exist. WEIGHTS: dict[SourceType, float] = {} - def _register( - weight: float, - *member_names: str, - _weights: dict[SourceType, float] = WEIGHTS, - ) -> None: + @classmethod + def _register(cls, weight: float, *member_names: str) -> None: """Register a weight for the first SourceType member that exists.""" for name in member_names: member = getattr(SourceType, name, None) if member is not None: - _weights[cast(SourceType, member)] = weight + cls.WEIGHTS[cast(SourceType, member)] = weight return - _register(0.95, "anatel", "ANATEL") - _register(0.90, "ibge", "IBGE") - _register(0.75, "speedtest", "SPEEDTEST") - _register(0.60, "crowdsource", "CROWDSOURCE") - _register(0.50, "manual", "MANUAL") - _register(0.40, "other", "OTHER") - _register(0.85, "starlink", "STARLINK") - - _register = staticmethod(_register) - @classmethod def get_weight(cls, source: SourceType) -> float: """Get reliability weight for a source type.""" return cls.WEIGHTS.get(source, 0.40) +SourceReliabilityWeights._register(0.95, "anatel", "ANATEL") +SourceReliabilityWeights._register(0.90, "ibge", "IBGE") +SourceReliabilityWeights._register(0.75, "speedtest", "SPEEDTEST") +SourceReliabilityWeights._register(0.60, "crowdsource", "CROWDSOURCE") +SourceReliabilityWeights._register(0.50, "manual", "MANUAL") +SourceReliabilityWeights._register(0.40, "other", "OTHER") +SourceReliabilityWeights._register(0.85, "starlink", "STARLINK") + + class ConfidenceCalculator: """Calculate confidence scores for connectivity measurements. @@ -87,7 +83,7 @@ def calculate( Tuple of (overall_score, breakdown) """ if current_time is None: - current_time = datetime.now(UTC) + current_time = datetime.now(timezone.utc) # Calculate component scores recency_score = cls._calculate_recency_score(measurement.timestamp_utc, current_time) @@ -120,9 +116,9 @@ def _calculate_recency_score(cls, timestamp: datetime, current_time: datetime) - """ # Ensure both timestamps are timezone-aware if timestamp.tzinfo is None: - timestamp = timestamp.replace(tzinfo=UTC) + timestamp = timestamp.replace(tzinfo=timezone.utc) if current_time.tzinfo is None: - current_time = current_time.replace(tzinfo=UTC) + current_time = current_time.replace(tzinfo=timezone.utc) age_days = (current_time - timestamp).total_seconds() / 86400 diff --git a/src/schemas/measurement.py b/src/schemas/measurement.py index 02875f7..4aadf70 100644 --- a/src/schemas/measurement.py +++ b/src/schemas/measurement.py @@ -1,7 +1,13 @@ """Canonical schema for connectivity measurements.""" from datetime import datetime -from enum import StrEnum +from enum import Enum + +try: + from enum import StrEnum +except ImportError: # Python < 3.11 + class StrEnum(str, Enum): + pass from typing import Any from pydantic import BaseModel, ConfigDict, Field, field_validator diff --git a/src/sources/anatel_parquet.py b/src/sources/anatel_parquet.py index 6474cd8..446dc79 100644 --- a/src/sources/anatel_parquet.py +++ b/src/sources/anatel_parquet.py @@ -21,8 +21,13 @@ import logging from collections.abc import Iterable from dataclasses import dataclass -from datetime import UTC, datetime -from enum import StrEnum +from datetime import datetime, timezone +from enum import Enum +try: + from enum import StrEnum +except ImportError: # Python < 3.11 + class StrEnum(str, Enum): + pass from pathlib import Path from typing import Any @@ -119,7 +124,7 @@ def _save_processed_hashes(self) -> None: payload = { "processed_hashes": sorted(self._processed_hashes), - "last_updated": datetime.now(UTC).isoformat(), + "last_updated": datetime.now(timezone.utc).isoformat(), } log_path.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8") @@ -186,7 +191,7 @@ def _pick_timestamp(self, row: pd.Series) -> datetime: for key in ("_processamento_data", "timestamp", "timestamp_utc", "data", "data_instalacao"): if key in row and row[key] is not None and not (isinstance(row[key], float) and pd.isna(row[key])): return MeasurementSchema.parse_timestamp(row[key]) - return datetime.now(UTC) + return datetime.now(timezone.utc) def _map_backhaul_row( self, diff --git a/src/sources/manual_csv.py b/src/sources/manual_csv.py index d0086f6..d0de3fa 100644 --- a/src/sources/manual_csv.py +++ b/src/sources/manual_csv.py @@ -13,7 +13,7 @@ import json import logging import uuid -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path from src.schemas import MeasurementSchema, SourceType, TechnologyType @@ -92,7 +92,7 @@ def _load_processed_files(self) -> set[str]: def _save_processed_files(self) -> None: """Save the set of processed file hashes to disk.""" - data = {"processed_hashes": list(self._processed_files), "last_updated": datetime.now(UTC).isoformat()} + data = {"processed_hashes": list(self._processed_files), "last_updated": datetime.now(timezone.utc).isoformat()} try: with open(self.processed_files_log, "w") as f: @@ -190,7 +190,7 @@ def _parse_csv_row(self, row: dict[str, str], row_num: int, filename: str) -> Me timestamp = datetime.strptime(timestamp_str, fmt) # Make timezone-aware if not already if timestamp.tzinfo is None: - timestamp = timestamp.replace(tzinfo=UTC) + timestamp = timestamp.replace(tzinfo=timezone.utc) break except ValueError: continue @@ -198,9 +198,9 @@ def _parse_csv_row(self, row: dict[str, str], row_num: int, filename: str) -> Me logger.warning( f"Row {row_num}: Could not parse timestamp '{timestamp_str}', using current time" ) - timestamp = datetime.now(UTC) + timestamp = datetime.now(timezone.utc) else: - timestamp = datetime.now(UTC) + timestamp = datetime.now(timezone.utc) # Optional fields - handle '0' and '0.0' as valid values download_str = row_lower.get("download", row_lower.get("download_mbps", "")).strip() diff --git a/src/sources/mock_crowdsource.py b/src/sources/mock_crowdsource.py index 650d1c4..917a7f6 100644 --- a/src/sources/mock_crowdsource.py +++ b/src/sources/mock_crowdsource.py @@ -2,7 +2,7 @@ import random import uuid -from datetime import UTC, datetime, timedelta +from datetime import datetime, timedelta, timezone from src.schemas import ConfidenceBreakdown, MeasurementSchema, SourceType, TechnologyType @@ -48,7 +48,7 @@ def fetch(self) -> list[MeasurementSchema]: # Generate random timestamp within last 90 days days_ago = random.randint(0, 90) - timestamp = datetime.now(UTC) - timedelta(days=days_ago) + timestamp = datetime.now(timezone.utc) - timedelta(days=days_ago) # Generate realistic speed measurements # Simulating various connection types in rural areas diff --git a/src/sources/mock_speedtest.py b/src/sources/mock_speedtest.py index f619279..600768d 100644 --- a/src/sources/mock_speedtest.py +++ b/src/sources/mock_speedtest.py @@ -2,7 +2,7 @@ import random import uuid -from datetime import UTC, datetime, timedelta +from datetime import datetime, timedelta, timezone from src.schemas import ConfidenceBreakdown, MeasurementSchema, SourceType, TechnologyType @@ -51,7 +51,7 @@ def fetch(self) -> list[MeasurementSchema]: # Speedtest data is typically fresher days_ago = random.randint(0, 30) hours_ago = random.randint(0, 23) - timestamp = datetime.now(UTC) - timedelta(days=days_ago, hours=hours_ago) + timestamp = datetime.now(timezone.utc) - timedelta(days=days_ago, hours=hours_ago) # Generate realistic speed measurements # Speedtest platform typically has better connection types diff --git a/tests/test_anatel_parquet_source.py b/tests/test_anatel_parquet_source.py index 6961f9d..c3816de 100644 --- a/tests/test_anatel_parquet_source.py +++ b/tests/test_anatel_parquet_source.py @@ -1,6 +1,6 @@ from __future__ import annotations -from datetime import UTC, datetime +from datetime import datetime, timezone from pathlib import Path import pandas as pd @@ -17,7 +17,7 @@ def _write_parquet(df: pd.DataFrame, path: Path) -> None: def test_anatel_parquet_source_backhaul_best_effort(tmp_path: Path): parquet_dir = tmp_path / "bronze" / "anatel" - ts = datetime(2026, 2, 1, 12, 0, 0, tzinfo=UTC).isoformat() + ts = datetime(2026, 2, 1, 12, 0, 0, tzinfo=timezone.utc).isoformat() df = pd.DataFrame( [ @@ -71,7 +71,7 @@ def test_anatel_parquet_source_strict_missing_required_raises(tmp_path: Path): # missing latitude/longitude "operadora": "Vivo", "capacidade_mbps": 200.0, - "_processamento_data": datetime.now(UTC).isoformat(), + "_processamento_data": datetime.now(timezone.utc).isoformat(), "_dataset_tipo": "backhaul", } ] @@ -94,7 +94,7 @@ def test_anatel_parquet_source_best_effort_skips_unsupported_dataset(tmp_path: P "quantidade": 10, "velocidade": "50 Mbps", "tecnologia": "Fibra", - "_processamento_data": datetime.now(UTC).isoformat(), + "_processamento_data": datetime.now(timezone.utc).isoformat(), "_dataset_tipo": "acesso_fixo", } ] diff --git a/tests/test_fusion_engine.py b/tests/test_fusion_engine.py index 2735f12..62db39c 100644 --- a/tests/test_fusion_engine.py +++ b/tests/test_fusion_engine.py @@ -3,7 +3,7 @@ import json import shutil import tempfile -from datetime import UTC, datetime, timedelta +from datetime import datetime, timedelta, timezone from pathlib import Path import pytest @@ -28,7 +28,7 @@ def sample_measurements(): id="test_001", lat=-15.7801, lon=-47.9292, - timestamp_utc=datetime.now(UTC) - timedelta(days=1), + timestamp_utc=datetime.now(timezone.utc) - timedelta(days=1), download_mbps=100.0, upload_mbps=50.0, latency_ms=20.0, @@ -41,7 +41,7 @@ def sample_measurements(): id="test_002", lat=-15.7901, lon=-47.9392, - timestamp_utc=datetime.now(UTC) - timedelta(days=2), + timestamp_utc=datetime.now(timezone.utc) - timedelta(days=2), download_mbps=25.0, upload_mbps=10.0, latency_ms=50.0, @@ -54,7 +54,7 @@ def sample_measurements(): id="test_003", lat=-15.8001, lon=-47.9492, - timestamp_utc=datetime.now(UTC) - timedelta(days=3), + timestamp_utc=datetime.now(timezone.utc) - timedelta(days=3), download_mbps=5.0, upload_mbps=1.0, latency_ms=200.0, @@ -78,7 +78,7 @@ def bronze_with_json(temp_bronze_dir, sample_measurements): # Save ANATEL data anatel_data = { "source": "anatel", - "ingestion_timestamp": datetime.now(UTC).isoformat(), + "ingestion_timestamp": datetime.now(timezone.utc).isoformat(), "count": 1, "measurements": [sample_measurements[0].to_dict()], } @@ -88,7 +88,7 @@ def bronze_with_json(temp_bronze_dir, sample_measurements): # Save crowdsource data crowdsource_data = { "source": "mock_crowdsource", - "ingestion_timestamp": datetime.now(UTC).isoformat(), + "ingestion_timestamp": datetime.now(timezone.utc).isoformat(), "count": 2, "measurements": [m.to_dict() for m in sample_measurements[1:]], } @@ -198,7 +198,7 @@ def test_icr_components_weights(self): id="perfect", lat=-15.7801, lon=-47.9292, - timestamp_utc=datetime.now(UTC), + timestamp_utc=datetime.now(timezone.utc), download_mbps=100.0, # Perfect score upload_mbps=50.0, # Perfect score latency_ms=0.0, # Perfect score @@ -228,7 +228,7 @@ def test_icr_with_missing_metrics(self): id="incomplete", lat=-15.7801, lon=-47.9292, - timestamp_utc=datetime.now(UTC), + timestamp_utc=datetime.now(timezone.utc), download_mbps=50.0, upload_mbps=None, # Missing latency_ms=None, # Missing diff --git a/tests/test_quality_confidence.py b/tests/test_quality_confidence.py index 5575bb7..01a70e4 100644 --- a/tests/test_quality_confidence.py +++ b/tests/test_quality_confidence.py @@ -1,6 +1,6 @@ """Unit tests for quality and confidence scoring.""" -from datetime import UTC, datetime, timedelta +from datetime import datetime, timedelta, timezone from typing import Any from src.quality import ConfidenceCalculator, SourceReliabilityWeights @@ -50,7 +50,7 @@ def create_measurement( metadata: dict[str, Any] | None = None, ) -> MeasurementSchema: """Helper to create test measurements.""" - timestamp = datetime.now(UTC) - timedelta(days=days_old) + timestamp = datetime.now(timezone.utc) - timedelta(days=days_old) return MeasurementSchema( id=f"test_{days_old}", @@ -212,7 +212,7 @@ def test_low_quality_measurement_low_score(self): def test_future_timestamp_low_recency(self): """Future timestamps should get low recency score.""" - future_time = datetime.now(UTC) + timedelta(days=10) + future_time = datetime.now(timezone.utc) + timedelta(days=10) measurement = MeasurementSchema( id="future_test", lat=-15.7801, @@ -244,7 +244,7 @@ def test_breakdown_to_dict(self): id="test", lat=-15.7801, lon=-47.9292, - timestamp_utc=datetime.now(UTC), + timestamp_utc=datetime.now(timezone.utc), download_mbps=100.0, upload_mbps=20.0, latency_ms=25.0, diff --git a/tests/test_schemas.py b/tests/test_schemas.py index 062ec3b..7728c36 100644 --- a/tests/test_schemas.py +++ b/tests/test_schemas.py @@ -1,6 +1,8 @@ """Unit tests for schema validation and normalization.""" -from datetime import UTC, datetime +from datetime import datetime, timezone + +UTC = timezone.utc import pytest from pydantic import ValidationError diff --git a/tests/test_simulation_pipeline_gr801.py b/tests/test_simulation_pipeline_gr801.py index e85f7dc..524d45d 100644 --- a/tests/test_simulation_pipeline_gr801.py +++ b/tests/test_simulation_pipeline_gr801.py @@ -67,12 +67,12 @@ def test_inject_faults(): """Test fault injection mechanism with deterministic seeding.""" # Seed the random number generator for reproducibility np.random.seed(42) - + soc = sim.SoC(num_cores=4, memory_size=1024, accelerator_present=True) radiation = sim.RadiationModel(particle_flux=10.0, upset_rate=0.1) radiation = sim.RadiationModel(particle_flux=100.0, upset_rate=0.5) - + # Run multiple times to ensure some faults are injected # With high flux and upset rate, we should consistently see faults total_faults = 0 @@ -81,7 +81,7 @@ def test_inject_faults(): total_faults += faults # With high flux and upset rate, we should see some faults - + # With these parameters (λ = 100*1*0.1 = 10 particles/step, 50% upset rate) # we expect ~50 faults over 10 iterations assert total_faults > 0 @@ -129,13 +129,13 @@ def test_monitor_state(): assert metrics["faults_corrected"] == 40 assert "performance" in metrics assert "application_accuracy" in metrics - - assert metrics['time'] == 1.5 - assert metrics['errors'] == 0 - assert metrics['total_faults_injected'] == 50 - assert metrics['total_faults_corrected'] == 40 - assert 'performance' in metrics - assert 'application_accuracy' in metrics + + assert metrics["time"] == 1.5 + assert metrics["errors"] == 0 + assert metrics["total_faults_injected"] == 50 + assert metrics["total_faults_corrected"] == 40 + assert "performance" in metrics + assert "application_accuracy" in metrics def test_safety_violation_detected_high_errors(): @@ -244,7 +244,6 @@ def test_performance_metric_with_errors(): """Test that performance decreases with errors.""" soc = sim.SoC(num_cores=4, memory_size=1024, accelerator_present=True) - # Without errors soc.errors = 0 soc.performance = 1.0 / (1.0 + soc.errors) From 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