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Create config/prediction_config.yaml
Browse files- config/prediction_config.yaml +205 -0
config/prediction_config.yaml
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1 |
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# إعدادات نماذج التوقع المستقبلي للمناقصات والمشاريع
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# شركة شبه الجزيرة للمقاولات
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# مهندس التطوير: م. تامر الجوهري
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# إعدادات عامة
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general:
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company_name: "شركة شبه الجزيرة للمقاولات"
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default_confidence_level: 0.95 # مستوى الثقة الافتراضي للتوقعات
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timezone: "Asia/Riyadh"
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language: "ar"
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confidence_threshold: 0.7 # الحد الأدنى المقبول لمستوى الثقة
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# إعدادات البيانات
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data:
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tenders_path: "data/processed/tenders.csv"
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contracts_path: "data/processed/contracts.csv"
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projects_path: "data/processed/projects.csv"
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municipalities_path: "data/processed/municipalities.csv"
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transport_path: "data/processed/transport.csv"
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investment_fund_path: "data/processed/investment_fund.csv"
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results_path: "data/prediction_results/"
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data_update_frequency: "daily" # daily, weekly, monthly
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historical_data_window: 5 # عدد السنوات للبيانات التاريخية
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# إعدادات نماذج التوقع
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prediction_models:
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# نموذج تصنيف المناقصات
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classification:
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model_path: "models/trained/tender_classifier"
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model_type: "transformer"
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base_model: "aubmindlab/arabert-base-v2"
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num_labels: 5
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threshold: 0.6
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categories:
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- "بنية تحتية"
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- "مباني"
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- "طرق"
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- "مياه وصرف صحي"
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- "كهرباء"
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# نموذج السلاسل الزمنية للتوقع المستقبلي
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time_series:
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model_path: "models/trained/time_series/prophet_model.json"
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model_type: "prophet"
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forecast_periods: 24 # عدد الأشهر للتوقع
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retraining_frequency: "monthly" # تردد إعادة التدريب
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seasonality:
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yearly: true
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weekly: true
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daily: false
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fiscal_year_start: 7 # شهر بداية السنة المالية (يوليو)
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uncertainty_samples: 1000
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# نموذج توقع المشاريع المستقبلية
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project_prediction:
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model_path: "models/trained/project_prediction/catboost_model"
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model_type: "catboost"
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categorical_features:
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- "project_type"
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- "sector"
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- "region"
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- "client_type"
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- "contractor_classification"
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numeric_features:
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- "budget"
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- "duration"
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- "num_competitors"
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- "local_content_percentage"
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- "similar_projects_count"
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- "previous_projects_count"
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# نموذج التوقع المالي
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financial:
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model_path: "models/trained/financial/xgboost_model.json"
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model_type: "xgboost"
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target_metrics:
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- "profit_margin"
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- "cash_flow"
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- "roi"
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features:
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- "project_size"
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- "project_duration"
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- "sector"
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- "client_type"
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- "competition_level"
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- "material_costs"
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- "labor_costs"
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# نموذج تحليل المنافسة
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competition_analysis:
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model_path: "models/trained/competition/lightgbm_model.txt"
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model_type: "lightgbm"
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competitors_database: "data/templates/competitors_database.json"
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market_share_threshold: 0.15
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competitor_strength_threshold: 0.7
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# إعدادات التدريب
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training:
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batch_size: 16
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learning_rate: 2e-5
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num_epochs: 5
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validation_split: 0.2
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early_stopping_patience: 3
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max_seq_length: 512
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use_mixed_precision: true
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use_gpu: true
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seed: 42
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cross_validation_folds: 5
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# إعدادات التقييم
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evaluation:
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evaluation_metric: "f1" # accuracy, f1, precision, recall, rmse, mae
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test_size: 0.2
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confidence_intervals: true
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confusion_matrix: true
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feature_importance: true
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output_metrics:
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- "accuracy"
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- "precision"
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- "recall"
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- "f1"
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- "r2"
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- "mae"
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# إعدادات الجهات الحكومية
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government_entities:
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# صندوق الاستثمارات العامة
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investment_fund:
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name: "صندوق الاستثمارات العامة"
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api_endpoint: "https://api.pif.gov.sa/tenders"
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projects_database: "data/government/pif_projects.csv"
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forecast_weight: 0.35
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sectors:
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- "سياحة وترفيه"
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- "تقنية المعلومات"
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- "طاقة متجددة"
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- "لوجيستيات"
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- "تطوير عقاري"
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# البلديات
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municipalities:
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name: "البلديات"
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api_endpoint: "https://api.momrah.gov.sa/municipalities"
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projects_database: "data/government/municipalities_projects.csv"
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forecast_weight: 0.25
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regions:
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- "الرياض"
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- "مكة المكرمة"
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- "المدينة المنورة"
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- "الشرقية"
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- "عسير"
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- "تبوك"
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- "حائل"
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- "القصيم"
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- "جازان"
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- "نجران"
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- "الباحة"
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- "الجوف"
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- "الحدود الشمالية"
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# وزارة النقل
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transport:
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name: "و��ارة النقل"
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api_endpoint: "https://api.mot.gov.sa/tenders"
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projects_database: "data/government/transport_projects.csv"
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forecast_weight: 0.25
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project_types:
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- "طرق"
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- "جسور"
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- "أنفاق"
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- "مطارات"
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- "موانئ"
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- "سكك حديدية"
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# جهات أخرى
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other_entities:
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name: "جهات حكومية أخرى"
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projects_database: "data/government/other_projects.csv"
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forecast_weight: 0.15
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# إعدادات تصدير التوقعات
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export:
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formats:
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- "csv"
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- "excel"
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- "pdf"
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- "json"
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report_template: "data/templates/prediction_report_template.docx"
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logo_path: "web/assets/logos/peninsula_logo.png"
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include_charts: true
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include_tables: true
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include_executive_summary: true
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# إعدادات الإشعارات
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notifications:
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enabled: true
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channels:
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- "email"
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- "dashboard"
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- "mobile"
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high_potential_threshold: 0.8 # عتبة المشاريع ذات الاحتمالية العالية
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notification_frequency: "daily" # daily, weekly
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recipients:
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- "[email protected]"
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- "[email protected]"
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