Update aee_era_main.py

aee_era_main.py

@@ -1,178 +1,161 @@
-# aee_era_main.py
-# AEE Era Sürümü İşlem Hattını Çalıştıran Ana Script
-# Era Extractor ve Linker entegre edildi. (Era Adım 2 Tamamlandı - Proje Kodu Bitti!)
-
-import time
-from typing import Dict, List, Optional, Any
-
-# Era sürümü klasöründeki TÜM modülleri import et
-try:
-    from aee_core_classes_era import Proposition, EpistemicData
-    from aee_extractor_era import process_with_spacy, extract_propositions_era, NLP_MODEL # Era Extractor
-    from aee_linker_era import find_and_link_evidence_era # Era Linker
-    from aee_updater_era import run_updates_era # Era Updater
-    from aee_explainer_era import generate_explanation_era # Era Explainer
-    from aee_bias_detector import run_bias_detection_v3 # v3 Bias Detector
-    from aee_validator import check_plausibility_v_era # Era Validator
-    from aee_utils import get_proposition_by_id # Utils
-except ImportError as e:
-    print(f"Fatal Error: Could not import necessary modules. Check file paths and dependencies in AEE/Era folder.")
-    print(f"Import Error: {e}")
-    exit()
-
-# --- Raporlama Fonksiyonu (Era) ---
-def report_kb_era(kb: Dict[str, Proposition]):
-    # ... (Öncekiyle aynı - değişiklik yok) ...
-    print("\n" + "="*70); print(" AEE Era Version - Knowledge Base Report (Final Status)"); print("="*70)
-    if not kb: print("Knowledge Base is empty."); print("="*70); return
-    print(f"Total propositions in KB: {len(kb)}"); print("-"*70)
-    propositions_by_source: Dict[str, List[Proposition]] = {};
-    def sort_key(prop): conf = prop.epistemic_data.computed_confidence; return conf if conf is not None else -1.0
-    sorted_props = sorted(list(kb.values()), key=sort_key, reverse=True)
-    for prop in sorted_props: source = prop.epistemic_data.source_id; propositions_by_source.setdefault(source, []).append(prop)
-    for source_id in sorted(propositions_by_source.keys()):
-        props = propositions_by_source[source_id]; source_reliability = getattr(props[0].epistemic_data, 'reliability_score', None)
-        reliability_str = f"{source_reliability:.2f}" if source_reliability is not None else "N/A"
-        print(f"\n--- Source: {source_id} (Calculated Reliability: {reliability_str}) ---")
-        for prop in props:
-            neg_str = "[NEGATED] " if prop.is_negated else ""
-            supports_str = ', '.join([pid[:8] for pid in prop.epistemic_data.supports]) if prop.epistemic_data.supports else "None"
-            contradicts_str = ', '.join([pid[:8] for pid in prop.epistemic_data.contradicts]) if prop.epistemic_data.contradicts else "None"
-            bias_str = ', '.join(prop.epistemic_data.bias_flags) if prop.epistemic_data.bias_flags else "None"
-            plausibility_score = prop.epistemic_data.plausibility_score; plausibility_str = f"{plausibility_score:.2f}" if plausibility_score is not None else "N/A"
-            validation_notes_str = ', '.join(prop.epistemic_data.validation_notes) if prop.epistemic_data.validation_notes else "None"
-            conf_score = prop.epistemic_data.computed_confidence; conf_str = f"{conf_score:.3f}" if conf_score is not None else "N/A"
-            init_conf_score = prop.epistemic_data.initial_confidence; init_conf_str = f"{init_conf_score:.2f}" if init_conf_score is not None else "N/A"
-            print(f"  Prop ID : {prop.prop_id}")
-            print(f"    Struct: {neg_str}{prop.subject_lemma} - {prop.relation_lemma} - {prop.value_lemma}")
-            print(f"    Conf. : {conf_str} (Initial: {init_conf_str})") # Initial conf'un değiştiğini göreceğiz
-            print(f"    Links : Supports: [{supports_str}] | Contradicts: [{contradicts_str}]")
-            print(f"    Biases: [{bias_str}]")
-            print(f"    Plaus.: {plausibility_str} | Notes: [{validation_notes_str}]")
-    print("\n" + "="*70); print(" End of KB Report "); print("="*70)
-
-
-# --- Ana İşlem Fonksiyonu (Era - Final) ---
-def run_aee_era_pipeline(inputs: List[Dict[str, str]]) -> Dict[str, Proposition]:
-    """
-    Verilen girdiler için AEE Era işlem hattını tam olarak çalıştırır
-    (Era Extract, Plausibility Check, Era Linker, Bias Detect, Era Update).
-    """
-    if NLP_MODEL is None: print("FATAL ERROR: spaCy model not loaded."); return {}
-
-    print("\nStarting AEE Era Final Pipeline...")
-    knowledge_base: Dict[str, Proposition] = {}
-    start_time = time.time()
-
-    # 1. Adım: Extract (Era) & Validate Plausibility & Link (Era)
-    print("Phase 1: Extracting(Era), Validating Plausibility, and Linking(Era)...")
-    all_extracted_props_before_linking: List[Proposition] = []
-    for item in inputs:
-        source_id = item.get("source_id", f"unknown_source_{int(time.time())}"); text = item.get("text", "")
-        if not text: continue
-        doc = process_with_spacy(text)
-        if doc:
-            # ERA EXTRACTOR ÇAĞIRILIYOR
-            extracted_props = extract_propositions_era(doc, source_id)
-            for prop in extracted_props:
-                 plausibility_score, validation_notes = check_plausibility_v_era(prop)
-                 if hasattr(prop, 'epistemic_data') and prop.epistemic_data:
-                    prop.epistemic_data.plausibility_score = plausibility_score
-                    if validation_notes: prop.epistemic_data.validation_notes.extend(validation_notes)
-                 all_extracted_props_before_linking.append(prop)
-    print(f"  Phase 1a (Extraction(Era) & Validation) complete. Total extracted: {len(all_extracted_props_before_linking)}")
-
-    print("  Phase 1b (Linking(Era))...")
-    if find_and_link_evidence_era: # Era linker fonksiyonu
-        for new_prop in all_extracted_props_before_linking:
-             if new_prop.prop_id not in knowledge_base:
-                  # ERA LINKER ÇAĞIRILIYOR
-                  find_and_link_evidence_era(new_prop, knowledge_base)
-                  knowledge_base[new_prop.prop_id] = new_prop
-    else: print("Skipping linking due to import error.")
-    print(f"Phase 1 (Extract(Era), Validate, Link(Era)) complete. KB size: {len(knowledge_base)}")
-
-    # 1.5 Adım: Bias Detection (v3)
-    print("\nPhase 1.5: Running Bias Detection Heuristics...")
-    if run_bias_detection_v3 and knowledge_base: run_bias_detection_v3(knowledge_base)
-    else: print("Skipping Bias Detection due to import error or empty KB.")
-    print("Phase 1.5 complete.")
-
-    # 2. Adım: Update (Era Mantığı ile)
-    print("\nPhase 2: Running Era Updates (Reliability, Cycle Detect, Plausibility-aware Confidence)...")
-    if run_updates_era: updated_knowledge_base = run_updates_era(knowledge_base) # ERA Updater
-    else: print("Skipping Updates due to import error."); updated_knowledge_base = knowledge_base
-    print("Phase 2 complete.")
-
-    end_time = time.time(); print(f"\nPipeline finished in {end_time - start_time:.2f} seconds.")
-    return updated_knowledge_base
-
-# --- Ana Çalışma Bloğu ---
-if __name__ == "__main__":
-    # Era sürümünün tüm yeteneklerini test edecek örnek girdiler
-    sample_inputs_era_final = [
-         {
-            "source_id": "fact_sheet_1", "source_type": "fact",
-            "text": "Water is H2O. The sun is hot. Ice is cold." # Yüksek plausibility, basit zıtlık
-        },
-        {
-            "source_id": "opinion_blog_A", "source_type": "blog",
-            "text": "Maybe the new policy is good. It could improve things. Perhaps." # Düşük başlangıç güveni (linguistic)
-        },
-         {
-            "source_id": "opinion_blog_B", "source_type": "blog",
-            "text": "The new policy is definitely bad! It will undoubtedly harm the economy. It is not good." # Yüksek başlangıç güveni (linguistic) + Zıtlık (good/bad)
-        },
-        {
-             "source_id": "report_X", "source_type": "report",
-             "text": "System Alpha is bigger than System Beta. System Beta is not small compared to Alpha." # İlişkisel çelişki?
-        },
-        {
-             "source_id": "another_report", "source_type": "report",
-             "text": "System Alpha is large." # 'bigger' ile eşanlamlı? (Synonym desteği için)
-        },
-         { # Döngü + Plausibility düşük + Kaynak Tekelciliği
-             "source_id": "conspiracy_theory.blog", "source_type": "blog",
-             "text": "The moon landing was faked because the photos look wrong. The photos look wrong because the shadows are incorrect. The shadows are incorrect because the landing was faked."
-              # Extractor muhtemelen bunları çıkaramaz, ama bias/cycle test için dursun.
-              # Ekstra düşük plausibility testi:
-              "Also, the moon is made of cheese."
-         }
-    ]
-
-    # İşlem hattını çalıştır
-    final_kb_era = run_aee_era_pipeline(sample_inputs_era_final)
-
-    # Genel KB Raporunu yazdır
-    report_kb_era(final_kb_era)
-
-    # Örnek Açıklamaları Üret ve Yazdır
-    print("\n" + "#"*70)
-    print(" AEE Era Version - Generating Explanations")
-    print("#"*70)
-    if final_kb_era and generate_explanation_era:
-        ids_to_explain = list(final_kb_era.keys())
-        print(f"\nGenerating explanations for all {len(ids_to_explain)} propositions...\n")
-        for prop_id in ids_to_explain:
-            explanation = generate_explanation_era(prop_id, final_kb_era) # ERA Explainer
-            print(explanation)
-            print("-" * 40)
-    else: print("Knowledge Base is empty or Explainer not available.")
-    print("\n" + "#"*70); print(" Explanation generation step complete."); print("#"*70)
-
-    # PROJE KODLAMASI TAMAMLANDI MESAJI
-    print("\n###########################################################################")
-    print("# AEE ERA VERSION - ALL PLANNED CORE FEATURE CODING COMPLETE!")
-    print("# All modules updated to Era versions where planned.")
-    print("# Project includes: Extraction(Era.2a), Validation(Era.1), Linking(Era.2b),")
-    print("# Bias Detection(v3), Updates(Era.1d), Explanation(Era.1e).")
-    print("#")
-    print("# FINAL STEP (FOR YOU): TESTING & EVALUATION!")
-    print("# - Run this script: python aee_era_main.py")
-    print("# - Examine the report and explanations thoroughly.")
-    print("# - Check if initial confidence reflects modality.")
-    print("# - Check if more links (support/contradiction) are found.")
-    print("# - Check bias flags, plausibility, final confidence.")
-    print("# - Try your own texts!")
-    print("# - Provide your final feedback and evaluation.")
-    print("###########################################################################")
+# aee_era_main.py
+# AEE Era Sürümü İşlem Hattını Çalıştıran Ana Script
+# Era Extractor ve Linker entegre edildi. (Era Adım 2 Tamamlandı - Proje Kodu Bitti!)
+
+import time
+from typing import Dict, List, Optional, Any
+
+# Era sürümü klasöründeki TÜM modülleri import et
+try:
+    from aee_core_classes_era import Proposition, EpistemicData
+    from aee_extractor_era import process_with_spacy, extract_propositions_era, NLP_MODEL # Era Extractor
+    from aee_linker_era import find_and_link_evidence_era # Era Linker
+    from aee_updater_era import run_updates_era # Era Updater
+    from aee_explainer_era import generate_explanation_era # Era Explainer
+    from aee_bias_detector import run_bias_detection_v3 # v3 Bias Detector
+    from aee_validator import check_plausibility_v_era # Era Validator
+    from aee_utils import get_proposition_by_id # Utils
+except ImportError as e:
+    print(f"Fatal Error: Could not import necessary modules. Check file paths and dependencies in AEE/Era folder.")
+    print(f"Import Error: {e}")
+    exit()
+
+# --- Raporlama Fonksiyonu (Era) ---
+def report_kb_era(kb: Dict[str, Proposition]):
+    # ... (Öncekiyle aynı - değişiklik yok) ...
+    print("\n" + "="*70); print(" AEE Era Version - Knowledge Base Report (Final Status)"); print("="*70)
+    if not kb: print("Knowledge Base is empty."); print("="*70); return
+    print(f"Total propositions in KB: {len(kb)}"); print("-"*70)
+    propositions_by_source: Dict[str, List[Proposition]] = {};
+    def sort_key(prop): conf = prop.epistemic_data.computed_confidence; return conf if conf is not None else -1.0
+    sorted_props = sorted(list(kb.values()), key=sort_key, reverse=True)
+    for prop in sorted_props: source = prop.epistemic_data.source_id; propositions_by_source.setdefault(source, []).append(prop)
+    for source_id in sorted(propositions_by_source.keys()):
+        props = propositions_by_source[source_id]; source_reliability = getattr(props[0].epistemic_data, 'reliability_score', None)
+        reliability_str = f"{source_reliability:.2f}" if source_reliability is not None else "N/A"
+        print(f"\n--- Source: {source_id} (Calculated Reliability: {reliability_str}) ---")
+        for prop in props:
+            neg_str = "[NEGATED] " if prop.is_negated else ""
+            supports_str = ', '.join([pid[:8] for pid in prop.epistemic_data.supports]) if prop.epistemic_data.supports else "None"
+            contradicts_str = ', '.join([pid[:8] for pid in prop.epistemic_data.contradicts]) if prop.epistemic_data.contradicts else "None"
+            bias_str = ', '.join(prop.epistemic_data.bias_flags) if prop.epistemic_data.bias_flags else "None"
+            plausibility_score = prop.epistemic_data.plausibility_score; plausibility_str = f"{plausibility_score:.2f}" if plausibility_score is not None else "N/A"
+            validation_notes_str = ', '.join(prop.epistemic_data.validation_notes) if prop.epistemic_data.validation_notes else "None"
+            conf_score = prop.epistemic_data.computed_confidence; conf_str = f"{conf_score:.3f}" if conf_score is not None else "N/A"
+            init_conf_score = prop.epistemic_data.initial_confidence; init_conf_str = f"{init_conf_score:.2f}" if init_conf_score is not None else "N/A"
+            print(f"  Prop ID : {prop.prop_id}")
+            print(f"    Struct: {neg_str}{prop.subject_lemma} - {prop.relation_lemma} - {prop.value_lemma}")
+            print(f"    Conf. : {conf_str} (Initial: {init_conf_str})") # Initial conf'un değiştiğini göreceğiz
+            print(f"    Links : Supports: [{supports_str}] | Contradicts: [{contradicts_str}]")
+            print(f"    Biases: [{bias_str}]")
+            print(f"    Plaus.: {plausibility_str} | Notes: [{validation_notes_str}]")
+    print("\n" + "="*70); print(" End of KB Report "); print("="*70)
+
+
+# --- Ana İşlem Fonksiyonu (Era - Final) ---
+def run_aee_era_pipeline(inputs: List[Dict[str, str]]) -> Dict[str, Proposition]:
+    """
+    Verilen girdiler için AEE Era işlem hattını tam olarak çalıştırır
+    (Era Extract, Plausibility Check, Era Linker, Bias Detect, Era Update).
+    """
+    if NLP_MODEL is None: print("FATAL ERROR: spaCy model not loaded."); return {}
+
+    print("\nStarting AEE Era Final Pipeline...")
+    knowledge_base: Dict[str, Proposition] = {}
+    start_time = time.time()
+
+    # 1. Adım: Extract (Era) & Validate Plausibility & Link (Era)
+    print("Phase 1: Extracting(Era), Validating Plausibility, and Linking(Era)...")
+    all_extracted_props_before_linking: List[Proposition] = []
+    for item in inputs:
+        source_id = item.get("source_id", f"unknown_source_{int(time.time())}"); text = item.get("text", "")
+        if not text: continue
+        doc = process_with_spacy(text)
+        if doc:
+            # ERA EXTRACTOR ÇAĞIRILIYOR
+            extracted_props = extract_propositions_era(doc, source_id)
+            for prop in extracted_props:
+                 plausibility_score, validation_notes = check_plausibility_v_era(prop)
+                 if hasattr(prop, 'epistemic_data') and prop.epistemic_data:
+                    prop.epistemic_data.plausibility_score = plausibility_score
+                    if validation_notes: prop.epistemic_data.validation_notes.extend(validation_notes)
+                 all_extracted_props_before_linking.append(prop)
+    print(f"  Phase 1a (Extraction(Era) & Validation) complete. Total extracted: {len(all_extracted_props_before_linking)}")
+
+    print("  Phase 1b (Linking(Era))...")
+    if find_and_link_evidence_era: # Era linker fonksiyonu
+        for new_prop in all_extracted_props_before_linking:
+             if new_prop.prop_id not in knowledge_base:
+                  # ERA LINKER ÇAĞIRILIYOR
+                  find_and_link_evidence_era(new_prop, knowledge_base)
+                  knowledge_base[new_prop.prop_id] = new_prop
+    else: print("Skipping linking due to import error.")
+    print(f"Phase 1 (Extract(Era), Validate, Link(Era)) complete. KB size: {len(knowledge_base)}")
+
+    # 1.5 Adım: Bias Detection (v3)
+    print("\nPhase 1.5: Running Bias Detection Heuristics...")
+    if run_bias_detection_v3 and knowledge_base: run_bias_detection_v3(knowledge_base)
+    else: print("Skipping Bias Detection due to import error or empty KB.")
+    print("Phase 1.5 complete.")
+
+    # 2. Adım: Update (Era Mantığı ile)
+    print("\nPhase 2: Running Era Updates (Reliability, Cycle Detect, Plausibility-aware Confidence)...")
+    if run_updates_era: updated_knowledge_base = run_updates_era(knowledge_base) # ERA Updater
+    else: print("Skipping Updates due to import error."); updated_knowledge_base = knowledge_base
+    print("Phase 2 complete.")
+
+    end_time = time.time(); print(f"\nPipeline finished in {end_time - start_time:.2f} seconds.")
+    return updated_knowledge_base
+
+# --- Ana Çalışma Bloğu ---
+if __name__ == "__main__":
+    # Era sürümünün tüm yeteneklerini test edecek örnek girdiler
+    sample_inputs_era_final = [
+         {
+            "source_id": "fact_sheet_1", "source_type": "fact",
+            "text": "Water is H2O. The sun is hot. Ice is cold." # Yüksek plausibility, basit zıtlık
+        },
+        {
+            "source_id": "opinion_blog_A", "source_type": "blog",
+            "text": "Maybe the new policy is good. It could improve things. Perhaps." # Düşük başlangıç güveni (linguistic)
+        },
+         {
+            "source_id": "opinion_blog_B", "source_type": "blog",
+            "text": "The new policy is definitely bad! It will undoubtedly harm the economy. It is not good." # Yüksek başlangıç güveni (linguistic) + Zıtlık (good/bad)
+        },
+        {
+             "source_id": "report_X", "source_type": "report",
+             "text": "System Alpha is bigger than System Beta. System Beta is not small compared to Alpha." # İlişkisel çelişki?
+        },
+        {
+             "source_id": "another_report", "source_type": "report",
+             "text": "System Alpha is large." # 'bigger' ile eşanlamlı? (Synonym desteği için)
+        },
+         { # Döngü + Plausibility düşük + Kaynak Tekelciliği
+             "source_id": "conspiracy_theory.blog", "source_type": "blog",
+             "text": "The moon landing was faked because the photos look wrong. The photos look wrong because the shadows are incorrect. The shadows are incorrect because the landing was faked."
+              # Extractor muhtemelen bunları çıkaramaz, ama bias/cycle test için dursun.
+              # Ekstra düşük plausibility testi:
+              "Also, the moon is made of cheese."
+         }
+    ]
+
+    # İşlem hattını çalıştır
+    final_kb_era = run_aee_era_pipeline(sample_inputs_era_final)
+
+    # Genel KB Raporunu yazdır
+    report_kb_era(final_kb_era)
+
+    # Örnek Açıklamaları Üret ve Yazdır
+    print("\n" + "#"*70)
+    print(" AEE Era Version - Generating Explanations")
+    print("#"*70)
+    if final_kb_era and generate_explanation_era:
+        ids_to_explain = list(final_kb_era.keys())
+        print(f"\nGenerating explanations for all {len(ids_to_explain)} propositions...\n")
+        for prop_id in ids_to_explain:
+            explanation = generate_explanation_era(prop_id, final_kb_era) # ERA Explainer
+            print(explanation)
+            print("-" * 40)
+    else: print("Knowledge Base is empty or Explainer not available.")
+    print("\n" + "#"*70); print(" Explanation generation step complete."); print("#"*70)