fix: auto-fix code issues (cron)
- 修复裸异常捕获 (E722) - 改为具体异常类型 - 修复重复导入/字段定义问题 - 修复PEP8格式问题 (W291 trailing whitespace, E226, E741) - 修复未使用变量 (F841) - 修复变量名遮蔽 (F402) - 修复未定义名称 (F821) - 添加 urllib.parse 导入 - 修复 f-string 缺少占位符 (F541) - 修复模块级导入位置 (E402) - 修复行尾空白和空行问题 - 优化代码结构，提升可读性
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OpenClaw Bot
@@ -251,7 +251,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO custom_models
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INSERT INTO custom_models
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(id, tenant_id, name, description, model_type, status, training_data,
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hyperparameters, metrics, model_path, created_at, updated_at, trained_at, created_by)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -321,7 +321,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO training_samples
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INSERT INTO training_samples
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(id, model_id, text, entities, metadata, created_at)
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VALUES (?, ?, ?, ?, ?, ?)
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""",
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@@ -391,7 +391,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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UPDATE custom_models
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UPDATE custom_models
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SET status = ?, metrics = ?, model_path = ?, trained_at = ?, updated_at = ?
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WHERE id = ?
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""",
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@@ -448,7 +448,7 @@ class AIManager:
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try:
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entities = json.loads(json_match.group())
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return entities
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except:
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except (json.JSONDecodeError, ValueError):
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pass
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return []
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@@ -494,7 +494,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO multimodal_analyses
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INSERT INTO multimodal_analyses
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(id, tenant_id, project_id, provider, input_type, input_urls, prompt,
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result, tokens_used, cost, created_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -648,7 +648,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO kg_rag_configs
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INSERT INTO kg_rag_configs
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(id, tenant_id, project_id, name, description, kg_config, retrieval_config,
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generation_config, is_active, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -811,7 +811,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO rag_queries
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INSERT INTO rag_queries
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(id, rag_id, query, context, answer, sources, confidence, tokens_used, latency_ms, created_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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@@ -931,7 +931,7 @@ class AIManager:
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key_points = data.get("key_points", [])
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if "summary" in data:
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content = data["summary"]
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except:
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except (json.JSONDecodeError, ValueError):
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pass
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# 如果没有提取到关键要点，从文本中提取
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@@ -967,7 +967,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO smart_summaries
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INSERT INTO smart_summaries
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(id, tenant_id, project_id, source_type, source_id, summary_type, content,
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key_points, entities_mentioned, confidence, tokens_used, created_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -1027,7 +1027,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO prediction_models
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INSERT INTO prediction_models
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(id, tenant_id, project_id, name, prediction_type, target_entity_type, features,
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model_config, accuracy, last_trained_at, prediction_count, is_active, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -1095,7 +1095,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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UPDATE prediction_models
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UPDATE prediction_models
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SET accuracy = ?, last_trained_at = ?, updated_at = ?
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WHERE id = ?
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""",
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@@ -1145,7 +1145,7 @@ class AIManager:
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with self._get_db() as conn:
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conn.execute(
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"""
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INSERT INTO prediction_results
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INSERT INTO prediction_results
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(id, model_id, prediction_type, target_id, prediction_data, confidence,
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explanation, actual_value, is_correct, created_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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@@ -1270,7 +1270,7 @@ class AIManager:
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"current_count": counts[-1],
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"growth_rate": round(avg_growth_rate, 4),
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"confidence": min(0.9, 0.6 + len(entity_history) * 0.03),
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"explanation": f"基于过去{len(entity_history)}个周期的数据，预测增长率{avg_growth_rate*100:.1f}%",
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"explanation": f"基于过去{len(entity_history)}个周期的数据，预测增长率{avg_growth_rate * 100:.1f}%",
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}
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def _predict_relation_evolution(self, input_data: Dict, model: PredictionModel) -> Dict:
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@@ -1303,9 +1303,9 @@ class AIManager:
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"""获取预测结果历史"""
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with self._get_db() as conn:
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rows = conn.execute(
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"""SELECT * FROM prediction_results
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WHERE model_id = ?
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ORDER BY created_at DESC
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"""SELECT * FROM prediction_results
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WHERE model_id = ?
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ORDER BY created_at DESC
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LIMIT ?""",
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(model_id, limit),
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).fetchall()
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@@ -1316,8 +1316,8 @@ class AIManager:
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"""更新预测反馈（用于模型改进）"""
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with self._get_db() as conn:
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conn.execute(
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"""UPDATE prediction_results
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SET actual_value = ?, is_correct = ?
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"""UPDATE prediction_results
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SET actual_value = ?, is_correct = ?
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WHERE id = ?""",
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(actual_value, is_correct, prediction_id),
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)
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