Create journal/journal.py

src/journal/journal.py

@@ -0,0 +1,50 @@
+# © 2025 Elena Marziali — Code released under Apache 2.0 license.
+# See LICENSE in the repository for details.
+# Removal of this copyright is prohibited.
+
+# Estrai il contenuto testuale dalla risposta
+response_text = getattr(response, "content", str(response)).strip()
+
+# Ora puoi tagliare i primi 1000 caratteri
+response_short = response_text[:1000]
+
+reflection_prompt = f"""
+You responded to the following prompt:
+"{prompt}"
+
+Your answer:
+"{response_short}"
+
+
+Now reflect briefly on how you arrived at this answer.
+
+- What reasoning path led you to this response?
+- What criteria guided your choices?
+- Were there any risks or ambiguities you considered?
+- How does this reflect your cognitive style?
+
+Write a concise reflection in 2–3 paragraphs, using a clear and analytical tone.
+"""
+
+reflection = llm.invoke(reflection_prompt).content.strip()
+
+journal = {}
+
+def record_journal(journal_id, prompt, response, reflection):
+    journal[journal_id] = {
+        "prompt": prompt,
+        "response": response,
+        "reflection": reflection
+    }
+
+record_journal(journal_id=0, prompt=prompt, response=response, reflection=reflection)
+
+def save_journal_markdown(data, file_name):
+    with open(file_name, "w", encoding="utf-8") as f:
+        f.write(f"# Reflective Journal\n\n")
+        f.write(f"## Prompt\n> {data['prompt']}\n\n")
+        f.write(f"## Response\n{data['response']}\n\n")
+        f.write(f"## Metacognitive Reflection\n{data['reflection']}\n")
+
+filename = f"journal_{datetime.datetime.utcnow().isoformat()}.md"
+save_journal_markdown(journal[0], filename)