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fix: resolve syntax errors in scan-skipped files
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Browse Source 
- Fix malformed f-strings in agent communication SDK
- Repair pricing strategy delimiters and optimizer blocks
- Normalize FastAPI session dependency signatures in routers
- Fix incomplete constructor, indentation, and empty exception blocks
- Restore syntax validity for files previously skipped by Bandit
This commit is contained in:
aitbc
2026-04-18 10:55:25 +02:00
parent ef91f4e773
commit 40698f91fd
14 changed files with 172 additions and 170 deletions
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80
apps/coordinator-api/src/app/domain/pricing_strategies.py
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@@ -156,7 +156,7 @@ class StrategyLibrary:
performance_penalty_rate=0.02,
growth_target_rate=0.25, # 25% growth target
market_share_target=0.15, # 15% market share target
}
)
rules = [
StrategyRule(
@@ -166,7 +166,7 @@ class StrategyLibrary:
condition="competitor_price > 0 and current_price > competitor_price * 0.95",
action="set_price = competitor_price * 0.95",
priority=StrategyPriority.HIGH,
},
),
StrategyRule(
rule_id="growth_volume_discount",
name="Volume Discount",
@@ -174,8 +174,8 @@ class StrategyLibrary:
condition="customer_volume > threshold and customer_loyalty < 6_months",
action="apply_discount = 0.1",
priority=StrategyPriority.MEDIUM,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="aggressive_growth_v1",
@@ -186,7 +186,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.AGGRESSIVE,
priority=StrategyPriority.HIGH,
}
)
@staticmethod
def get_profit_maximization_strategy() -> PricingStrategyConfig:
@@ -206,7 +206,7 @@ class StrategyLibrary:
performance_penalty_rate=0.08,
profit_target_margin=0.35, # 35% profit target
max_price_change_percent=0.2, # More conservative changes
}
)
rules = [
StrategyRule(
@@ -216,7 +216,7 @@ class StrategyLibrary:
condition="demand_level > 0.8 and competitor_capacity < 0.7",
action="set_price = current_price * 1.3",
priority=StrategyPriority.CRITICAL,
},
),
StrategyRule(
rule_id="profit_performance_premium",
name="Performance Premium",
@@ -224,8 +224,8 @@ class StrategyLibrary:
condition="performance_score > 0.9 and customer_satisfaction > 0.85",
action="apply_premium = 0.2",
priority=StrategyPriority.HIGH,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="profit_maximization_v1",
@@ -236,7 +236,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.MODERATE,
priority=StrategyPriority.HIGH,
}
)
@staticmethod
def get_market_balance_strategy() -> PricingStrategyConfig:
@@ -256,7 +256,7 @@ class StrategyLibrary:
performance_penalty_rate=0.05,
volatility_threshold=0.15, # Lower volatility threshold
confidence_threshold=0.8, # Higher confidence requirement
}
)
rules = [
StrategyRule(
@@ -266,7 +266,7 @@ class StrategyLibrary:
condition="market_trend == increasing and price_position < market_average",
action="adjust_price = market_average * 0.98",
priority=StrategyPriority.MEDIUM,
},
),
StrategyRule(
rule_id="balance_stability_maintain",
name="Stability Maintenance",
@@ -274,8 +274,8 @@ class StrategyLibrary:
condition="volatility > 0.15 and confidence < 0.7",
action="freeze_price = true",
priority=StrategyPriority.HIGH,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="market_balance_v1",
@@ -286,7 +286,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.MODERATE,
priority=StrategyPriority.MEDIUM,
}
)
@staticmethod
def get_competitive_response_strategy() -> PricingStrategyConfig:
@@ -304,7 +304,7 @@ class StrategyLibrary:
weekend_multiplier=1.05,
performance_bonus_rate=0.08,
performance_penalty_rate=0.03,
}
)
rules = [
StrategyRule(
@@ -314,7 +314,7 @@ class StrategyLibrary:
condition="competitor_price < current_price * 0.95",
action="set_price = competitor_price * 0.98",
priority=StrategyPriority.CRITICAL,
},
),
StrategyRule(
rule_id="competitive_promotion_response",
name="Promotion Response",
@@ -322,8 +322,8 @@ class StrategyLibrary:
condition="competitor_promotion == true and market_share_declining",
action="apply_promotion = competitor_promotion_rate * 1.1",
priority=StrategyPriority.HIGH,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="competitive_response_v1",
@@ -334,7 +334,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.MODERATE,
priority=StrategyPriority.HIGH,
}
)
@staticmethod
def get_demand_elasticity_strategy() -> PricingStrategyConfig:
@@ -353,7 +353,7 @@ class StrategyLibrary:
performance_bonus_rate=0.1,
performance_penalty_rate=0.05,
max_price_change_percent=0.4, # Allow larger changes for elasticity
}
)
rules = [
StrategyRule(
@@ -363,7 +363,7 @@ class StrategyLibrary:
condition="demand_growth_rate > 0.2 and supply_constraint == true",
action="set_price = current_price * 1.25",
priority=StrategyPriority.HIGH,
},
),
StrategyRule(
rule_id="elasticity_demand_stimulation",
name="Demand Stimulation",
@@ -371,8 +371,8 @@ class StrategyLibrary:
condition="demand_level < 0.4 and inventory_turnover < threshold",
action="apply_discount = 0.15",
priority=StrategyPriority.MEDIUM,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="demand_elasticity_v1",
@@ -383,7 +383,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.AGGRESSIVE,
priority=StrategyPriority.MEDIUM,
}
)
@staticmethod
def get_penetration_pricing_strategy() -> PricingStrategyConfig:
@@ -401,7 +401,7 @@ class StrategyLibrary:
weekend_multiplier=0.9,
growth_target_rate=0.3, # 30% growth target
market_share_target=0.2, # 20% market share target
}
)
rules = [
StrategyRule(
@@ -411,7 +411,7 @@ class StrategyLibrary:
condition="market_share < 0.05 and time_in_market < 6_months",
action="set_price = cost * 1.1",
priority=StrategyPriority.CRITICAL,
},
),
StrategyRule(
rule_id="penetration_gradual_increase",
name="Gradual Price Increase",
@@ -419,8 +419,8 @@ class StrategyLibrary:
condition="market_share > 0.1 and customer_loyalty > 12_months",
action="increase_price = 0.05",
priority=StrategyPriority.MEDIUM,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="penetration_pricing_v1",
@@ -431,7 +431,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.AGGRESSIVE,
priority=StrategyPriority.HIGH,
}
)
@staticmethod
def get_premium_pricing_strategy() -> PricingStrategyConfig:
@@ -450,7 +450,7 @@ class StrategyLibrary:
performance_bonus_rate=0.2,
performance_penalty_rate=0.1,
profit_target_margin=0.4, # 40% profit target
}
)
rules = [
StrategyRule(
@@ -460,7 +460,7 @@ class StrategyLibrary:
condition="quality_score > 0.95 and brand_recognition > high",
action="maintain_premium = true",
priority=StrategyPriority.CRITICAL,
},
),
StrategyRule(
rule_id="premium_exclusivity",
name="Exclusivity Pricing",
@@ -468,8 +468,8 @@ class StrategyLibrary:
condition="exclusive_features == true and customer_segment == premium",
action="apply_premium = 0.3",
priority=StrategyPriority.HIGH,
},
## ]
),
]
return PricingStrategyConfig(
strategy_id="premium_pricing_v1",
@@ -480,7 +480,7 @@ class StrategyLibrary:
rules=rules,
risk_tolerance=RiskTolerance.CONSERVATIVE,
priority=StrategyPriority.MEDIUM,
}
)
@staticmethod
def get_all_strategies() -> dict[PricingStrategy, PricingStrategyConfig]:
@@ -506,7 +506,7 @@ class StrategyOptimizer:
def optimize_strategy(
self, strategy_config: PricingStrategyConfig, performance_data: dict[str, Any]
} -> PricingStrategyConfig:
) -> PricingStrategyConfig:
"""Optimize strategy parameters based on performance"""
strategy_id = strategy_config.strategy_id
@@ -559,11 +559,11 @@ class StrategyOptimizer:
"action": "increase_demand_sensitivity",
"adjustment": 0.15,
},
## ]
]
def _apply_optimization_rules(
self, strategy_config: PricingStrategyConfig, performance_data: dict[str, Any]
} -> PricingStrategyConfig:
) -> PricingStrategyConfig:
"""Apply optimization rules to strategy configuration"""
# Create a copy to avoid modifying the original
@@ -592,7 +592,7 @@ class StrategyOptimizer:
market_share_target=strategy_config.parameters.market_share_target,
regional_adjustments=strategy_config.parameters.regional_adjustments.copy(),
custom_parameters=strategy_config.parameters.custom_parameters.copy(),
},
),
rules=strategy_config.rules.copy(),
risk_tolerance=strategy_config.risk_tolerance,
priority=strategy_config.priority,
@@ -602,7 +602,7 @@ class StrategyOptimizer:
max_price=strategy_config.max_price,
resource_types=strategy_config.resource_types.copy(),
regions=strategy_config.regions.copy(),
}
)
# Apply each optimization rule
for rule in self.optimization_rules: