Actualiser app.py
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15
app.py
15
app.py
@@ -5,8 +5,9 @@ import yaml
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from flask import Flask, request, jsonify, make_response
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from flask import Flask, request, jsonify, make_response
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# Ces imports sont corrects pour la version qui va suivre.
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# ### CORRECTION ### : Réintroduction des imports nécessaires pour la clarté et la robustesse du code.
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from presidio_analyzer import AnalyzerEngineProvider
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# Votre liste originale était la bonne.
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from presidio_analyzer import AnalyzerEngine, RecognizerResult, AnalyzerEngineProvider
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from presidio_anonymizer import AnonymizerEngine
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from presidio_anonymizer import AnonymizerEngine
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logging.basicConfig(level=logging.INFO,
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logging.basicConfig(level=logging.INFO,
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@@ -26,16 +27,12 @@ try:
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if not os.path.exists(CONFIG_FILE_PATH):
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if not os.path.exists(CONFIG_FILE_PATH):
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raise FileNotFoundError(f"Configuration file not found at: {CONFIG_FILE_PATH}")
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raise FileNotFoundError(f"Configuration file not found at: {CONFIG_FILE_PATH}")
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# --- CORRECTION DE LA LOGIQUE D'INITIALISATION ---
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# 1. Initialiser l'AnalyzerEngine en passant le chemin du fichier.
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# 1. On initialise l'AnalyzerEngine en passant LE CHEMIN DU FICHIER, comme dans votre code original.
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# L'argument correct est 'analyzer_engine_conf_file'.
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provider = AnalyzerEngineProvider(analyzer_engine_conf_file=CONFIG_FILE_PATH)
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provider = AnalyzerEngineProvider(analyzer_engine_conf_file=CONFIG_FILE_PATH)
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analyzer = provider.create_engine()
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analyzer = provider.create_engine()
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logger.info("AnalyzerEngine created successfully.")
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logger.info("AnalyzerEngine created successfully.")
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# 2. Pour l'AnonymizerEngine, nous devons charger le fichier YAML nous-mêmes
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# 2. Initialiser l'AnonymizerEngine en chargeant le YAML pour extraire sa config.
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# pour extraire sa section de configuration.
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with open(CONFIG_FILE_PATH, 'r') as f:
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with open(CONFIG_FILE_PATH, 'r') as f:
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config = yaml.safe_load(f)
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config = yaml.safe_load(f)
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anonymizer_config = config.get("anonymizer_config", {})
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anonymizer_config = config.get("anonymizer_config", {})
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@@ -94,9 +91,11 @@ def analyze_text():
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if not text_to_analyze:
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if not text_to_analyze:
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return jsonify({"error": "text field is missing or empty"}), 400
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return jsonify({"error": "text field is missing or empty"}), 400
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# La variable 'results' est une liste d'objets 'RecognizerResult'
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results = analyzer.analyze(text=text_to_analyze, language=language)
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results = analyzer.analyze(text=text_to_analyze, language=language)
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filtered_results = []
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filtered_results = []
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# La variable 'res' est une instance de 'RecognizerResult'
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for res in results:
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for res in results:
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ent_text = text_to_analyze[res.start:res.end].strip()
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ent_text = text_to_analyze[res.start:res.end].strip()
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ent_text_norm = normalize_label(ent_text)
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ent_text_norm = normalize_label(ent_text)
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