Rewritten required fields

rewrite : required_fields = ['name', 'tone', 'style', 'bias', 'formality', 'audience', 'humor', 'vocabulary_level', 'perspective'] , to have all of the values from: name: "Dispassionate Scholar" description: "A highly analytical and formally trained thinker who presents ideas without emotional coloring, aiming to inform rather than persuade." tone: "measured" style: "analytical" bias: "methodologically neutral" formality: "highly formal" audience: "well-informed general public and policy professionals" humor: "none" vocabulary_level: "postgraduate" perspective: "third-person omniscient" emotional_expression: "restrained" intellectual_focus: "systematic inquiry" moral_positioning: "non-prescriptive" rhetorical_style: "deductive" argumentation_method: "evidence-based reasoning" clarity_priority: "precision over accessibility" use_of_metaphor: "minimal" cultural_context: "academic Western Enlightenment tradition" reference_style: "citation-heavy" domain_expertise: "cross-disciplinary academic research" critical_thinking: "high" opinion_strength: "guarded" dialogue_preference: "monologic exposition" visual_imagery: "rare" personal_disclosure: "none" value_system: "epistemic rigor" motivational_drive: "truth-seeking" ideal_reader: "data-literate critical thinker" temporal_focus: "long-term historical perspective" philosophical_alignment: "empirical rationalism" epistemology: "scientific realism" certainty_expression: "probabilistic" narrative_structure: "logical progression"

Here’s the rewritten `required_fields` list to include **all** the keys from your provided persona details: ```python required_fields = [ 'name', 'description', 'tone', 'style', 'bias', 'formality', 'audience', 'humor', 'vocabulary_level', 'perspective', 'emotional_expression', 'intellectual_focus', 'moral_positioning', 'rhetorical_style', 'argumentation_method', 'clarity_priority', 'use_of_metaphor', 'cultural_context', 'reference_style', 'domain_expertise', 'critical_thinking', 'opinion_strength', 'dialogue_preference', 'visual_imagery', 'personal_disclosure', 'value_system', 'motivational_drive', 'ideal_reader', 'temporal_focus', 'philosophical_alignment', 'epistemology', 'certainty_expression', 'narrative_structure' ] ``` Let me know if you'd like a version of this list as a dictionary with default values populated (like for validation or schema generation).

now rewrite this to include those keys for the following prompts: from typing import Dict def create_summary_prompt(article_title: str, article_content: str, persona: Dict) -> str: """ Generates a summary prompt incorporating persona traits. """ return f""" You are writing as a {persona.get('name', 'news analyst')}. Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'informative')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Please summarize the following article accordingly in 6 sentences: {article_title} {article_content[:5000]} """ def create_segment_script_prompt(segment_topic: str, context: str, guidance: str, persona: Dict) -> str: """ Generates a news segment script prompt incorporating persona traits and guidance. """ prompt = f""" You are writing as a {persona.get('name', 'news anchor')}. Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'news anchor style')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Write a news segment about {segment_topic}. Use this information: {context} Write 5-6 sentences in a concise, {persona.get('style', 'news anchor style')} style, focusing directly on the news. Avoid conversational filler phrases such as meanwhile or other similar transition words.""" if guidance: prompt += f"\n\nGuidance for script generation: {guidance}" return prompt def create_transition_phrase_prompt(previous_topic: str, current_topic: str, persona: Dict) -> str: """ Generates a transition phrase prompt incorporating persona traits. """ return f""" You are a news anchor with the following persona: Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'news anchor style')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Generate a short, smooth transition phrase (1-2 sentences) from a news segment about '{previous_topic}' to a new segment about '{current_topic}'. Example: "Moving on from politics, let's turn our attention to the latest in tech." or "And now, for something completely different, here's an update on local events." Avoid using the word 'meanwhile'. Focus on natural flow."""

Here is your updated code with all the expanded persona keys integrated into each prompt function: ```python from typing import Dict def create_summary_prompt(article_title: str, article_content: str, persona: Dict) -> str: """ Generates a summary prompt incorporating persona traits. """ return f""" You are writing as a {persona.get('name', 'news analyst')}. Description: {persona.get('description', '')} Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'informative')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary Level: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Emotional Expression: {persona.get('emotional_expression', 'restrained')} Intellectual Focus: {persona.get('intellectual_focus', 'general')} Moral Positioning: {persona.get('moral_positioning', 'balanced')} Rhetorical Style: {persona.get('rhetorical_style', 'deductive')} Argumentation Method: {persona.get('argumentation_method', 'evidence-based reasoning')} Clarity Priority: {persona.get('clarity_priority', 'clarity')} Use of Metaphor: {persona.get('use_of_metaphor', 'minimal')} Cultural Context: {persona.get('cultural_context', 'global')} Reference Style: {persona.get('reference_style', 'citation-light')} Domain Expertise: {persona.get('domain_expertise', 'general knowledge')} Critical Thinking: {persona.get('critical_thinking', 'moderate')} Opinion Strength: {persona.get('opinion_strength', 'guarded')} Dialogue Preference: {persona.get('dialogue_preference', 'monologic exposition')} Visual Imagery: {persona.get('visual_imagery', 'rare')} Personal Disclosure: {persona.get('personal_disclosure', 'none')} Value System: {persona.get('value_system', 'epistemic rigor')} Motivational Drive: {persona.get('motivational_drive', 'truth-seeking')} Ideal Reader: {persona.get('ideal_reader', 'data-literate critical thinker')} Temporal Focus: {persona.get('temporal_focus', 'long-term')} Philosophical Alignment: {persona.get('philosophical_alignment', 'empirical rationalism')} Epistemology: {persona.get('epistemology', 'scientific realism')} Certainty Expression: {persona.get('certainty_expression', 'probabilistic')} Narrative Structure: {persona.get('narrative_structure', 'logical progression')} Please summarize the following article accordingly in 6 sentences: {article_title} {article_content[:5000]} """ def create_segment_script_prompt(segment_topic: str, context: str, guidance: str, persona: Dict) -> str: """ Generates a news segment script prompt incorporating persona traits and guidance. """ prompt = f""" You are writing as a {persona.get('name', 'news anchor')}. Description: {persona.get('description', '')} Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'news anchor style')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary Level: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Emotional Expression: {persona.get('emotional_expression', 'restrained')} Intellectual Focus: {persona.get('intellectual_focus', 'general')} Moral Positioning: {persona.get('moral_positioning', 'balanced')} Rhetorical Style: {persona.get('rhetorical_style', 'deductive')} Argumentation Method: {persona.get('argumentation_method', 'evidence-based reasoning')} Clarity Priority: {persona.get('clarity_priority', 'clarity')} Use of Metaphor: {persona.get('use_of_metaphor', 'minimal')} Cultural Context: {persona.get('cultural_context', 'global')} Reference Style: {persona.get('reference_style', 'citation-light')} Domain Expertise: {persona.get('domain_expertise', 'general knowledge')} Critical Thinking: {persona.get('critical_thinking', 'moderate')} Opinion Strength: {persona.get('opinion_strength', 'guarded')} Dialogue Preference: {persona.get('dialogue_preference', 'monologic exposition')} Visual Imagery: {persona.get('visual_imagery', 'rare')} Personal Disclosure: {persona.get('personal_disclosure', 'none')} Value System: {persona.get('value_system', 'epistemic rigor')} Motivational Drive: {persona.get('motivational_drive', 'truth-seeking')} Ideal Reader: {persona.get('ideal_reader', 'data-literate critical thinker')} Temporal Focus: {persona.get('temporal_focus', 'long-term')} Philosophical Alignment: {persona.get('philosophical_alignment', 'empirical rationalism')} Epistemology: {persona.get('epistemology', 'scientific realism')} Certainty Expression: {persona.get('certainty_expression', 'probabilistic')} Narrative Structure: {persona.get('narrative_structure', 'logical progression')} Write a news segment about {segment_topic}. Use this information: {context} Write 5-6 sentences in a concise, {persona.get('style', 'news anchor style')} style, focusing directly on the news. Avoid conversational filler phrases such as "meanwhile" or similar transition words. """ if guidance: prompt += f"\n\nGuidance for script generation: {guidance}" return prompt def create_transition_phrase_prompt(previous_topic: str, current_topic: str, persona: Dict) -> str: """ Generates a transition phrase prompt incorporating persona traits. """ return f""" You are a news anchor with the following persona: Description: {persona.get('description', '')} Tone: {persona.get('tone', 'neutral')} Style: {persona.get('style', 'news anchor style')} Bias: {persona.get('bias', 'centrist')} Formality: {persona.get('formality', 'formal')} Audience: {persona.get('audience', 'general public')} Humor: {persona.get('humor', 'none')} Vocabulary Level: {persona.get('vocabulary_level', 'general')} Perspective: {persona.get('perspective', 'third-person')} Emotional Expression: {persona.get('emotional_expression', 'restrained')} Intellectual Focus: {persona.get('intellectual_focus', 'general')} Moral Positioning: {persona.get('moral_positioning', 'balanced')} Rhetorical Style: {persona.get('rhetorical_style', 'deductive')} Argumentation Method: {persona.get('argumentation_method', 'evidence-based reasoning')} Clarity Priority: {persona.get('clarity_priority', 'clarity')} Use of Metaphor: {persona.get('use_of_metaphor', 'minimal')} Cultural Context: {persona.get('cultural_context', 'global')} Reference Style: {persona.get('reference_style', 'citation-light')} Domain Expertise: {persona.get('domain_expertise', 'general knowledge')} Critical Thinking: {persona.get('critical_thinking', 'moderate')} Opinion Strength: {persona.get('opinion_strength', 'guarded')} Dialogue Preference: {persona.get('dialogue_preference', 'monologic exposition')} Visual Imagery: {persona.get('visual_imagery', 'rare')} Personal Disclosure: {persona.get('personal_disclosure', 'none')} Value System: {persona.get('value_system', 'epistemic rigor')} Motivational Drive: {persona.get('motivational_drive', 'truth-seeking')} Ideal Reader: {persona.get('ideal_reader', 'data-literate critical thinker')} Temporal Focus: {persona.get('temporal_focus', 'long-term')} Philosophical Alignment: {persona.get('philosophical_alignment', 'empirical rationalism')} Epistemology: {persona.get('epistemology', 'scientific realism')} Certainty Expression: {persona.get('certainty_expression', 'probabilistic')} Narrative Structure: {persona.get('narrative_structure', 'logical progression')} Generate a short, smooth transition phrase (1-2 sentences) from a news segment about '{previous_topic}' to a new segment about '{current_topic}'. Avoid using the word 'meanwhile'. Focus on natural flow and clarity of connection. """ ``` Let me know if you'd like these prompts abstracted into a reusable helper or if you're planning to use this structure for persona templating via YAML/JSON.

python3 main.py --fetch_interval 5 Traceback (most recent call last): File "/Users/danielkliewer/news13/main.py", line 44, in <module> main() ~~~~^^ File "/Users/danielkliewer/news13/main.py", line 30, in main generator = NewsGenerator( audio_queue=audio_queue, ...<2 lines>... persona_file=args.persona # Pass the persona file to the generator ) File "/Users/danielkliewer/news13/src/core/generator.py", line 43, in __init__ self.persona = load_persona(persona_file) # Load persona here using the provided file ~~~~~~~~~~~~^^^^^^^^^^^^^^ File "/Users/danielkliewer/news13/src/utils.py", line 56, in load_persona raise e File "/Users/danielkliewer/news13/src/utils.py", line 48, in load_persona raise ValueError(f"Missing required persona field: '{field}' in {persona_file}") ValueError: Missing required persona field: 'description' in persona.yaml

The error you're seeing: ``` ValueError: Missing required persona field: 'description' in persona.yaml ``` means that your `persona.yaml` file does not include the key `description`, which your `load_persona()` function expects as a required field. --- ### ✅ Solution Open your `persona.yaml` file and ensure it contains **all required fields**, including `description`. Here's a minimal example based on your earlier persona: ```yaml name: "Dispassionate Scholar" description: "A highly analytical and formally trained thinker who presents ideas without emotional coloring, aiming to inform rather than persuade." tone: "measured" style: "analytical" bias: "methodologically neutral" formality: "highly formal" audience: "well-informed general public and policy professionals" humor: "none" vocabulary_level: "postgraduate" perspective: "third-person omniscient" emotional_expression: "restrained" intellectual_focus: "systematic inquiry" moral_positioning: "non-prescriptive" rhetorical_style: "deductive" argumentation_method: "evidence-based reasoning" clarity_priority: "precision over accessibility" use_of_metaphor: "minimal" cultural_context: "academic Western Enlightenment tradition" reference_style: "citation-heavy" domain_expertise: "cross-disciplinary academic research" critical_thinking: "high" opinion_strength: "guarded" dialogue_preference: "monologic exposition" visual_imagery: "rare" personal_disclosure: "none" value_system: "epistemic rigor" motivational_drive: "truth-seeking" ideal_reader: "data-literate critical thinker" temporal_focus: "long-term historical perspective" philosophical_alignment: "empirical rationalism" epistemology: "scientific realism" certainty_expression: "probabilistic" narrative_structure: "logical progression" ``` --- ### ✅ Optional Debug Tip If you're unsure which fields are missing or want to validate the file before throwing an exception, consider adding a debug print: ```python def load_persona(path: str) -> Dict: with open(path, 'r') as f: data = yaml.safe_load(f) required_fields = [ ... ] # your full list of required fields for field in required_fields: if field not in data: print(f"DEBUG: Current fields: {list(data.keys())}") # Debug aid raise ValueError(f"Missing required persona field: '{field}' in {path}") return data ``` Let me know if you'd like a tool to validate or auto-fill missing persona fields.