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chatbot/multipal_col.py

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+import pandas as pd
+import yaml
+
+# Read the data from the CSV file
+df = pd.read_csv(r"D:\livecode\Book1.csv")
+
+# df['Question'] = df['Question'].replace('\n', ' ', regex=True)
+# df['Question'] = df['Question'].str.strip()
+
+# df['Answers'] = df['Answers'].replace('\n', ' ', regex=True)
+# df['Answers'] = df['Answers'].str.strip()
+
+# # Extract the columns from the dataframe
+Question = df['Question'].tolist()
+Example1 = df['Example1'].tolist()
+Example2 = df['Example2'].tolist()
+Example3 = df['Example3'].tolist()
+uniqueid = df['uniqueid'].tolist()
+Answers = df['Answers'].tolist()
+
+question_cols = df.filter(regex='Example').columns
+answer_cols = df.filter(regex='Answers').columns
+#appending intents
+import ruamel.yaml as yaml
+
+# Load the domain YAML file
+with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'r') as f:
+    domain = yaml.safe_load(f)
+    for i in uniqueid:
+        domain['intents'].append(i)
+        with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'w') as f:
+            yaml.dump(domain, f, default_flow_style=False, allow_unicode=True)
+
+#appending muitipal answers
+from ruamel.yaml import YAML
+
+# Create a YAML object that preserves the formatting of the original YAML file
+yaml = YAML()
+yaml.preserve_quotes = True
+yaml.indent(mapping=2, sequence=4, offset=2)
+
+# Read in the existing domain file
+with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'r') as file:
+    domain = yaml.load(file)
+
+# Generate the new YAML code for each row of data
+new_content = {}
+for index, row in df.iterrows():
+    intent_name = row['uniqueid']
+    examples = [row[col] for col in answer_cols ]
+    separator = "_"
+    for counter, example in enumerate(examples, start=1):
+        #example=example.replace(':','')
+        response_name = f"utter_{intent_name}{separator}{counter}"
+        response_text = f"- text: {example}"
+        if 'responses' not in new_content:
+            new_content['responses'] = {}
+        new_content['responses'][response_name] = yaml.load(response_text)
+
+# Update the `responses` section of the domain dictionary with the new content
+domain['responses'].update(new_content['responses'])
+
+# Write the updated domain file back to disk, preserving the formatting of the original file
+with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'w') as file:
+    yaml.dump(domain, file)
+
+#appending multipal action for each rule
+with open(r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\rules.yml", 'a') as f:
+    for index, row in df.iterrows():
+        intent_name = row['uniqueid']
+        examples = [row[col] for col in question_cols]
+        separator = "_"
+        steps = {"intent": intent_name}
+        gg=[]
+        for counter, example in enumerate(examples, start=1):
+            unique_id = f"{intent_name}{separator}{counter}"
+            gg.append({"action": f"utter_{unique_id}"})
+
+        output_str = "  \n  ".join([f"- action: {question['action'][:-1]}{i}" for i, question in enumerate(gg, start=1)])
+
+        f.write(f""" 
+- rule: Ticket{intent_name}
+  steps:
+  - intent: {steps['intent']}
+  {output_str}
+  
+""")
+
+
+# appending multipal question
+
+with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\nlu.yml', "a") as file:
+    for index, row in df.iterrows():
+        intent_name = row['uniqueid']
+        examples = [row[col] for col in question_cols]
+        file.write(f"""
+- intent: {intent_name}
+  examples: |
+""")
+        for example in examples:
+            file.write(f"   - \"{example}\"\n")
+        file.write("\n")
+
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\nlu.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
+#     f.write(modified_text)
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\domain.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
+#     f.write(modified_text)
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\rules.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
+#     f.write(modified_text)