fix: lint errors (import sorting, unused vars)

.hypothesis/constants/0fd19af6d8bbe8d3

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/api/app.py
+# hypothesis_version: 6.151.14
+
+[0.0, 1.0, 30.0, 60.0, 100, 168, 200, 201, 400, 404, 502, 503, 504, 1000, 10000, ' AND ', '/api/analytics/query', '/api/companies', '/api/documents', '/api/macro/events', '/api/orders', '/api/positions', '/api/recommendations', '/api/trends', '/health', '/metrics', '1 day', '1 hour', '15 minutes', '15m', '1d', '1h', '6 hours', '6h', 'Company not found', 'DELETE 0', 'Database unavailable', 'Document not found', 'Order not found', 'Query not found', 'SELECT 1', 'Source not found', 'Trend not found', 'WHERE ', 'X-Trino-Catalog', 'X-Trino-Schema', 'X-Trino-User', '^(15m|1h|6h|1d)$', '__str__', 'active_source_count', 'affected_companies', 'aggregation', 'aliases', 'approved', 'audit_trail', 'by_source_type', 'c.active = $1', 'catalog', 'catalyst_type', 'columns', 'company', 'company_impacts', 'company_mentions', 'competitive_enabled', 'competitive_signals', 'competitor_ticker', 'config', 'contributing_factors', 'count', 'data', 'decision_trace', 'decisions', 'default', 'deleted', 'document_id', 'document_stages', 'dominant_catalysts', 'driving_factors', 'elapsed_ms', 'entity_type = $1', 'events', 'evidence', 'evidence_spans', 'extraction', 'extraction_warnings', 'generated_at', 'hours', 'id', 'intelligence', 'intelligence_id', 'key_facts', 'limit', 'macro.layer_toggled', 'macro_enabled', 'macro_themes', 'market_context', 'material_risks', 'message', 'mir.ticker = $1', 'missing_source_types', 'name', 'new_enabled', 'nextUri', 'ok', 'operator', 'order_job', 'paper', 'parsing', 'pattern_statistics', 'patterns', 'previous_enabled', 'projection', 'query_api', 'recommendation', 'recommendation_id', 'rejected', 'rejection_reasons', 'risk_checks', 'risk_config', 'risk_configs', 'risk_evaluation', 'risks', 'row_count', 'rows', 'schema', 'source', 'sql', 'sql is required', 'stale_sources', 'status', 'stonks-dashboard', 'tables', 'ticker', 'toggled_by', 'trading_mode', 'trend', 'trend_window', 'trend_window_id', 'true', 'type', 'unknown', 'validation_errors', 'x-trace-id']

.hypothesis/constants/2eeccf7f02200f3b

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/lake_publisher/jobs.py
+# hypothesis_version: 6.151.14
+
+[0.0, 2.0, ', ', '1d', '7d', 'Order %s not found', '__main__', 'active', 'affected_commodities', 'affected_regions', 'affected_sectors', 'ap', 'as', 'ask_price', 'ask_size', 'avg_entry_price', 'bar', 'bars', 'bid_price', 'bid_size', 'bidirectional', 'bp', 'broker_account', 'broker_timestamp', 'bs', 'bulk_documents', 'bulk_extractions', 'c', 'canonical_url', 'captured_at', 'catalyst_type', 'close', 'close_price', 'commission', 'company_a_id', 'company_b_id', 'company_event', 'company_id', 'company_name', 'competitive_signal', 'computed_at', 'confidence', 'content_hash', 'contributing_factors', 'created_at', 'current_price', 'data', 'document', 'document_extraction', 'document_id', 'document_type', 'driving_factors', 'en', 'entity_id', 'error', 'estimated_duration', 'event_id', 'event_types', 'execution_mode', 'extraction_at', 'fill_id', 'fill_price', 'fill_quantity', 'global_event', 'h', 'high', 'id', 'impact_direction', 'impact_horizon', 'impact_score', 'interval', 'job_type', 'key_facts', 'l', 'lake_publisher', 'language', 'last_price', 'last_size', 'limit_price', 'low', 'lp', 'ls', 'macro_impact', 'macro_impact_score', 'macro_themes', 'market_snapshot', 'model_name', 'model_version', 'n', 'neutral', 'novelty_score', 'o', 'open', 'order_id', 'order_type', 'other', 'parse_quality_score', 'pattern_confidence', 'pnl_snapshot', 'positions_snapshot', 'price', 'projected_confidence', 'projected_direction', 'projected_strength', 'projection_horizon', 'prompt_version', 'published_at', 'publisher', 'qty', 'quantity', 'quote', 'quotes', 'realized_pnl', 'recommendation_id', 'refs', 'relationship_type', 'relevance', 'retrieved_at', 'risks', 'schema_version', 'sentiment', 'severity', 'short_term', 'side', 'signal_direction', 'signal_strength', 'since', 'snapshot_type', 'source', 'source_credibility', 'source_document_id', 'source_provider', 'source_ticker', 'source_type', 'status', 'strength', 'submitted_at', 'summary', 'target_ticker', 'ticker', 'title', 'trade_count', 'trade_fill', 'trade_order', 'trend_projection', 'trend_window_id', 'unrealized_pnl', 'url', 'v', 'volume', 'vw', 'vwap', '{}']

.hypothesis/constants/30e3cd0337dfd77a

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/recommendation/worker.py
+# hypothesis_version: 6.151.14
+
+[0.0, 0.1, 0.15, 0.3, 0.5, 1.0, 1.5, 2.0, 3.0, ', ', '1.0.0', '; ', 'DIVERGENCE:', '[risk:', ']', '_', 'computed_at', 'confidence', 'contradiction_score', 'deterministic', 'document_id', 'dominant_catalysts', 'driving_factors', 'eligibility-v1', 'entity_id', 'entity_type', 'evidence', 'evidence_type', 'failed_documents', 'generated_at', 'high', 'id', 'low', 'material_risks', 'max_loss_pct', 'moderate', 'newest_evidence_at', 'none', 'ollama', 'opposing', 'portfolio_pct', 'position_sizing', 'projected_confidence', 'projected_direction', 'projected_strength', 'projection_horizon', 'risk_classification', 'source_types', 'supporting', 'thesis-rewrite', 'time_horizon', 'total_documents', 'trend_direction', 'trend_strength', 'valid_documents', 'very_high', 'weight', 'window']

.hypothesis/constants/4d73aab997a061aa

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/aggregation/projection.py
+# hypothesis_version: 6.151.14
+
+[-1.0, -0.1, 0.0, 0.02, 0.05, 0.1, 0.15, 0.25, 0.3, 0.4, 0.5, 0.75, 0.8, 0.85, 1.0, 1.2, 2.0, 7.0, 24.0, 30.0, '1d', '30d', '7d', '90d', 'bearish', 'bullish', 'critical', 'high', 'intraday', 'long_term', 'low', 'medium_term', 'mixed', 'moderate', 'negative', 'neutral', 'positive', 'projection', 'short_term']

.hypothesis/constants/639343d6f6e87901

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/extractor/event_classifier.py
+# hypothesis_version: 6.151.14
+
+[0.0, 0.5, 1.0, '1.0.0', 'additionalProperties', 'affected_commodities', 'affected_regions', 'affected_sectors', 'application/json', 'array', 'confidence', 'description', 'document_id', 'empty_response', 'enum', 'error', 'estimated_duration', 'event_classifier', 'event_id', 'event_types', 'geopolitical_risk', 'items', 'json_schema', 'key_facts', 'low', 'maximum', 'minimum', 'model', 'number', 'object', 'ollama', 'parsed_event', 'prompt_version', 'properties', 'raw_output', 'required', 'schema_version', 'severity', 'short_term', 'stonks-llm-prompts', 'stonks-llm-results', 'string', 'success', 'summary', 'system', 'system_prompt', 'type', 'user', 'user_prompt']

.hypothesis/constants/83acce76c2cc9437

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/lake_publisher/iceberg.py
+# hypothesis_version: 6.151.14
+
+[8080, ',\n', ',\n    ', ', ', 'BIGINT', 'BOOLEAN', 'DATE', 'DOUBLE', 'INTEGER', 'REAL', 'SMALLINT', 'TIMESTAMP(6)', 'TINYINT', 'VARCHAR', 'bool', 'column_name', 'company_events', 'competitive_signals', 'data_type', 'date32', 'date32[day]', 'date64', 'document_extractions', 'documents', 'double', 'float', 'float32', 'float64', "format = 'PARQUET'", 'global_events', 'iceberg', 'int16', 'int32', 'int64', 'int8', 'is_nullable', 'large_string', 'large_utf8', 'localhost', 'macro_impacts', 'manifest_list', 'market_bars', 'market_quotes', 'model_performance', 'operation', 'parent_id', 'pnl_daily', 'positions_daily', 'row', 'snapshot_id', 'stonks', 'string', 'summary', 'timestamp', 'trade_fills', 'trade_orders', 'trade_signals', 'trend_projections', 'tz=', 'utf8']

.hypothesis/constants/9677a3e756ff8959

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/aggregation/worker.py
+# hypothesis_version: 6.151.14
+
+[-1.0, -0.15, 0.0, 0.1, 0.15, 0.2, 0.3, 0.4, 0.5, 0.6, 1.0, 20.0, 3600.0, 'catalyst_type', 'company', 'company_id', 'competitive_enabled', 'computed_at', 'confidence', 'contributing_factors', 'document_id', 'estimated_duration', 'event_id', 'event_published_at', 'id', 'impact_direction', 'impact_score', 'key_facts', 'low', 'macro_enabled', 'macro_impact_score', 'mixed', 'negative', 'neutral', 'novelty_score', 'opposing', 'other', 'pattern_confidence', 'positive', 'published_at', 'risks', 'sentiment', 'severity', 'short_term', 'signal_direction', 'signal_strength', 'source_credibility', 'source_document_id', 'source_ticker', 'supporting', 'target_ticker', 'ticker', 'true']

.hypothesis/constants/c09a3975d58812bd

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/symbol_registry/app.py
+# hypothesis_version: 6.151.14
+
+[0.5, 201, 365, 404, 409, 503, '/companies', '/health', '/watchlists', 'Already a member', 'Company not found', 'Database unavailable', 'SELECT 1', '^[A-Z]{1,10}$', 'access_policy', 'added', 'base_url', 'brand', 'broker', 'config', 'endpoint', 'filings_api', 'http', 'https', 'internal', 'market_api', 'news_api', 'ok', 'public', 'restricted', 'source_type', 'status', 'symbol_registry', 'ticker', 'url', 'web_scrape']

.hypothesis/constants/fcd3f6823e196246

@@ -0,0 +1,4 @@
+# file: /home/celes/sources/celesrenata/stonks-oracle/services/aggregation/interpolation.py
+# hypothesis_version: 6.151.14
+
+[-0.693, 0.0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.7, 0.75, 0.85, 1.0, 1.2, 168.0, 'AE', 'AU', 'BR', 'CA', 'CN', 'Consumer Staples', 'DE', 'EU', 'Energy', 'Financials', 'GB', 'Health Care', 'IN', 'Industrials', 'JP', 'KR', 'Materials', 'RU', 'Real Estate', 'SA', 'US', 'Utilities', 'commodity_shock', 'copper', 'corn', 'cost_increase', 'crude_oil', 'currency_impact', 'demand_shift', 'geopolitical_risk', 'inferred', 'interpolation', 'large_cap', 'lithium', 'micro_cap', 'mid_cap', 'mixed', 'natural_gas', 'negative', 'neutral', 'positive', 'regulatory_pressure', 'semiconductors', 'short_term', 'small_cap', 'steel', 'supply_disruption', 'trade_barrier', 'wheat']

services/aggregation/interpolation.py

@@ -11,7 +11,6 @@ from __future__ import annotations
 
 import json
 import logging
-import uuid
 from dataclasses import dataclass, field
 from datetime import datetime, timezone
 

services/aggregation/projection.py

@@ -16,7 +16,7 @@ from datetime import datetime, timezone
 
 import asyncpg
 
-from services.shared.schemas import TrendDirection, TrendSummary
+from services.shared.schemas import TrendSummary
 
 logger = logging.getLogger("projection")
 
@@ -169,10 +169,8 @@ def project_macro_decay(
 
         # Decay factor: ratio of future impact to current impact
         if half_life > 0:
-            current_factor = math.pow(2.0, -current_age_days / half_life)
             future_factor = math.pow(2.0, -future_age_days / half_life)
         else:
-            current_factor = 0.0
             future_factor = 0.0
 
         severity_w = _SEVERITY_WEIGHT.get(ev.severity, 0.25)

services/aggregation/worker.py

@@ -27,6 +27,12 @@ from services.aggregation.evidence import (
     rank_evidence as _rank_evidence_composite,
 )
 from services.aggregation.market_context import fetch_market_context
+from services.aggregation.pattern_matcher import find_self_patterns
+from services.aggregation.projection import (
+    MacroEventInfo,
+    compute_projection,
+    persist_trend_projection,
+)
 from services.aggregation.scoring import (
     ScoringConfig,
     WeightedSignal,
@@ -34,23 +40,16 @@ from services.aggregation.scoring import (
     sentiment_to_numeric,
     weighted_sentiment_average,
 )
+from services.aggregation.signal_propagation import (
+    CompetitiveSignalRecord,
+    build_pattern_weighted_signals,
+)
 from services.shared.metrics import (
     AGGREGATION_CONTRADICTION_SCORE,
     AGGREGATION_DURATION,
     AGGREGATION_SIGNALS_PROCESSED,
     AGGREGATION_WINDOWS_COMPUTED,
 )
-from services.aggregation.pattern_matcher import find_self_patterns
-from services.aggregation.projection import (
-    MacroEventInfo,
-    TrendProjection,
-    compute_projection,
-    persist_trend_projection,
-)
-from services.aggregation.signal_propagation import (
-    CompetitiveSignalRecord,
-    build_pattern_weighted_signals,
-)
 from services.shared.schemas import TrendDirection, TrendSummary, TrendWindow
 
 logger = logging.getLogger(__name__)

services/api/app.py

@@ -16,6 +16,7 @@ import json
 import logging
 import time as _time
 from contextlib import asynccontextmanager
+from dataclasses import asdict
 from datetime import datetime, timezone
 from typing import Any, Optional
 
@@ -27,11 +28,16 @@ from pydantic import BaseModel
 from starlette.middleware.base import BaseHTTPMiddleware
 from starlette.responses import Response
 
+from services.aggregation.pattern_matcher import (
+    find_cross_company_patterns,
+    find_self_patterns,
+)
 from services.extractor.metrics import get_model_performance_summary
 from services.shared.audit import get_entity_audit_trail, get_order_audit_trail, record_audit_event
 from services.shared.config import load_config
 from services.shared.db import get_pg_pool
 from services.shared.logging import new_trace_id, set_trace_context, setup_logging
+from services.shared.schemas import MAJOR_DECISION_CATALYSTS
 
 logger = logging.getLogger("query_api")
 
@@ -2092,14 +2098,6 @@ async def toggle_competitive_layer(body: CompetitiveToggleBody):
 # (Requirements 10.1, 10.2, 10.3, 10.4, 11.4, 11.6)
 # ---------------------------------------------------------------------------
 
-from dataclasses import asdict
-
-from services.aggregation.pattern_matcher import (
-    find_cross_company_patterns,
-    find_self_patterns,
-)
-from services.shared.schemas import MAJOR_DECISION_CATALYSTS
-
 
 def _pattern_to_dict(p) -> dict[str, Any]:
     """Convert a HistoricalPattern dataclass to a JSON-safe dict."""

services/extractor/event_classifier.py

@@ -461,10 +461,9 @@ async def classify_global_event(
     model_name = ollama_client._config.model
 
     # Persist prompt to MinIO
-    prompt_ref = None
     if minio_client:
         try:
-            prompt_ref = _upload_classification_prompt(
+            _upload_classification_prompt(
                 minio_client, document_id, prompts, model_name, timestamp=ts,
             )
         except Exception:

services/lake_publisher/iceberg.py

@@ -128,8 +128,8 @@ TABLE_SCHEMAS: dict[str, pa.Schema] = {
 # These are added after the initial dict definition.
 def _register_worker_schemas() -> None:
     from services.lake_publisher.worker import (
-        COMPETITOR_RELATIONSHIPS_SCHEMA,
         COMPETITIVE_SIGNALS_SCHEMA,
+        COMPETITOR_RELATIONSHIPS_SCHEMA,
         GLOBAL_EVENTS_SCHEMA,
         MACRO_IMPACTS_SCHEMA,
         TREND_PROJECTIONS_SCHEMA,

services/lake_publisher/jobs.py

@@ -35,6 +35,8 @@ from minio import Minio
 
 from services.lake_publisher.partitions import partition_values
 from services.lake_publisher.worker import (
+    publish_competitive_signal_fact,
+    publish_competitor_relationship_fact,
     publish_document_extraction,
     publish_document_extractions_batch,
     publish_document_fact,
@@ -48,8 +50,6 @@ from services.lake_publisher.worker import (
     publish_trade_fill,
     publish_trade_order,
     publish_trend_projection_fact,
-    publish_competitor_relationship_fact,
-    publish_competitive_signal_fact,
 )
 from services.shared.config import load_config
 from services.shared.db import get_minio, get_pg_pool, get_redis

services/recommendation/worker.py

@@ -15,6 +15,7 @@ from datetime import datetime, timezone
 import asyncpg
 from minio import Minio
 
+from services.aggregation.projection import TrendProjection
 from services.lake_publisher.worker import publish_recommendation_facts
 from services.recommendation.eligibility import (
     EligibilityConfig,
@@ -31,7 +32,6 @@ from services.recommendation.thesis_llm import (
     THESIS_PROMPT_VERSION,
     rewrite_thesis_with_llm,
 )
-from services.aggregation.projection import TrendProjection
 from services.shared.config import OllamaConfig
 from services.shared.metrics import (
     RECOMMENDATION_CONFIDENCE,

services/symbol_registry/app.py

@@ -12,9 +12,9 @@ from pydantic import BaseModel, field_validator
 from services.shared.config import load_config
 from services.shared.db import get_pg_pool
 from services.shared.logging import setup_logging
-from services.symbol_registry.exposure import router as exposure_router
-from services.symbol_registry.competitors import router as competitors_router
 from services.symbol_registry.competitor_inference import router as inference_router
+from services.symbol_registry.competitors import router as competitors_router
+from services.symbol_registry.exposure import router as exposure_router
 
 config = load_config()
 pool: Optional[asyncpg.Pool] = None