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19:11:08 +0900 Subject: [PATCH 2/6] Implement Article Curation App --- pythonkr_backend/curation/__init__.py | 0 pythonkr_backend/curation/admin.py | 88 ++++++ pythonkr_backend/curation/apps.py | 6 + .../curation/migrations/0001_initial.py | 25 ++ .../0002_article_reading_time_minutes.py | 18 ++ .../migrations/0003_article_summary_ko.py | 18 ++ ...0004_alter_article_reading_time_minutes.py | 18 ++ .../curation/migrations/0005_category.py | 25 ++ .../migrations/0006_article_categories.py | 18 ++ .../curation/migrations/__init__.py | 0 pythonkr_backend/curation/models.py | 254 ++++++++++++++++++ pythonkr_backend/curation/tests.py | 3 + pythonkr_backend/curation/views.py | 3 + .../pythonkr_backend/settings/base.py | 3 +- 14 files changed, 478 insertions(+), 1 deletion(-) create mode 100644 pythonkr_backend/curation/__init__.py create mode 100644 pythonkr_backend/curation/admin.py create mode 100644 pythonkr_backend/curation/apps.py create mode 100644 pythonkr_backend/curation/migrations/0001_initial.py create mode 100644 pythonkr_backend/curation/migrations/0002_article_reading_time_minutes.py create mode 100644 pythonkr_backend/curation/migrations/0003_article_summary_ko.py create mode 100644 pythonkr_backend/curation/migrations/0004_alter_article_reading_time_minutes.py create mode 100644 pythonkr_backend/curation/migrations/0005_category.py create mode 100644 pythonkr_backend/curation/migrations/0006_article_categories.py create mode 100644 pythonkr_backend/curation/migrations/__init__.py create mode 100644 pythonkr_backend/curation/models.py create mode 100644 pythonkr_backend/curation/tests.py create mode 100644 pythonkr_backend/curation/views.py diff --git a/pythonkr_backend/curation/__init__.py b/pythonkr_backend/curation/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pythonkr_backend/curation/admin.py b/pythonkr_backend/curation/admin.py new file mode 100644 index 0000000..c3ea81a --- /dev/null +++ b/pythonkr_backend/curation/admin.py @@ -0,0 +1,88 @@ +from django.contrib import admin, messages +from .models import Article, Category # Or combine imports + + +@admin.register(Category) +class CategoryAdmin(admin.ModelAdmin): + list_display = ('name', 'slug') + search_fields = ('name',) + prepopulated_fields = {'slug': ('name',)} # Auto-populate slug from name + + +@admin.action(description="Fetch content, summarize, and translate selected articles") +def summarize_selected_articles(modeladmin, request, queryset): + success_count = 0 + errors = [] + + for article in queryset: + result = article.fetch_and_summarize() + if result.startswith("Error"): + errors.append(f"{article.url}: {result}") + else: + success_count += 1 + + if success_count > 0: + modeladmin.message_user( + request, + f"Successfully processed {success_count} article(s) (fetch, summarize, translate).", + messages.SUCCESS + ) + + if errors: + error_message = "Errors encountered:\n" + "\n".join(errors) + modeladmin.message_user(request, error_message, messages.WARNING) + + + + +@admin.register(Article) +class ArticleAdmin(admin.ModelAdmin): + list_display = ('url', 'title', 'display_categories', 'summary_preview', 'summary_ko_preview', 'reading_time_minutes', 'updated_at', 'created_at') + list_filter = ('categories', 'created_at', 'updated_at') + search_fields = ('url', 'title', 'summary', 'summary_ko', 'categories__name') + readonly_fields = ('created_at', 'updated_at', 'summary', 'summary_ko', 'reading_time_minutes') + actions = [summarize_selected_articles] + filter_horizontal = ('categories',) + + fieldsets = ( + ('Article Information', { + 'fields': ('url', 'title', 'categories') + }), + ('Generated Content', { + 'fields': ('summary', 'summary_ko', 'reading_time_minutes'), + 'classes': ('collapse',) + }), + ('Metadata', { + 'fields': ('created_at', 'updated_at'), + 'classes': ('collapse',) + }), + ) + + @admin.display(description='Categories') + def display_categories(self, obj): + """Displays categories as a comma-separated string in the list view.""" + if obj.categories.exists(): + return ", ".join([category.name for category in obj.categories.all()]) + return '-' # Or None, or empty string + + def get_readonly_fields(self, request, obj=None): + # Make 'categories' always read-only as it's set by the LLM + readonly = list(super().get_readonly_fields(request, obj)) + if 'categories' not in readonly: + readonly.append('categories') + return readonly + + @admin.display(description='Summary Preview') + def summary_preview(self, obj): + if obj.summary: + preview = obj.summary[:100] + return f"{preview}..." if len(obj.summary) > 100 else preview + return "No summary available" + + @admin.display(description='Korean Summary Preview') + def summary_ko_preview(self, obj): + if obj.summary_ko: + if obj.summary_ko.startswith("Translation Error"): return obj.summary_ko + preview = obj.summary_ko[:50] + return f"{preview}..." if len(obj.summary_ko) > 50 else preview + return "No Korean summary" diff --git a/pythonkr_backend/curation/apps.py b/pythonkr_backend/curation/apps.py new file mode 100644 index 0000000..0f438e7 --- /dev/null +++ b/pythonkr_backend/curation/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class CurationConfig(AppConfig): + default_auto_field = 'django.db.models.BigAutoField' + name = 'curation' diff --git a/pythonkr_backend/curation/migrations/0001_initial.py b/pythonkr_backend/curation/migrations/0001_initial.py new file mode 100644 index 0000000..93ed208 --- /dev/null +++ b/pythonkr_backend/curation/migrations/0001_initial.py @@ -0,0 +1,25 @@ +# Generated by Django 5.2 on 2025-04-20 05:42 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + ] + + operations = [ + migrations.CreateModel( + name='Article', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('url', models.URLField(help_text='The unique URL of the article.', max_length=2048, unique=True)), + ('title', models.CharField(blank=True, help_text='Article title (can be fetched automatically or entered manually).', max_length=512)), + ('summary', models.TextField(blank=True, help_text='AI-generated summary of the article.')), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('updated_at', models.DateTimeField(auto_now=True)), + ], + ), + ] diff --git a/pythonkr_backend/curation/migrations/0002_article_reading_time_minutes.py b/pythonkr_backend/curation/migrations/0002_article_reading_time_minutes.py new file mode 100644 index 0000000..60a266b --- /dev/null +++ b/pythonkr_backend/curation/migrations/0002_article_reading_time_minutes.py @@ -0,0 +1,18 @@ +# Generated by Django 5.2 on 2025-04-20 06:20 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('curation', '0001_initial'), + ] + + operations = [ + migrations.AddField( + model_name='article', + name='reading_time_minutes', + field=models.PositiveIntegerField(blank=True, help_text='Estimated reading time in minutes.', null=True), + ), + ] diff --git a/pythonkr_backend/curation/migrations/0003_article_summary_ko.py b/pythonkr_backend/curation/migrations/0003_article_summary_ko.py new file mode 100644 index 0000000..7bb4215 --- /dev/null +++ b/pythonkr_backend/curation/migrations/0003_article_summary_ko.py @@ -0,0 +1,18 @@ +# Generated by Django 5.2 on 2025-04-20 06:23 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('curation', '0002_article_reading_time_minutes'), + ] + + operations = [ + migrations.AddField( + model_name='article', + name='summary_ko', + field=models.TextField(blank=True, help_text='Korean translation of the summary (via OpenAI).'), + ), + ] diff --git a/pythonkr_backend/curation/migrations/0004_alter_article_reading_time_minutes.py b/pythonkr_backend/curation/migrations/0004_alter_article_reading_time_minutes.py new file mode 100644 index 0000000..0dbccca --- /dev/null +++ b/pythonkr_backend/curation/migrations/0004_alter_article_reading_time_minutes.py @@ -0,0 +1,18 @@ +# Generated by Django 5.2 on 2025-04-20 06:34 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('curation', '0003_article_summary_ko'), + ] + + operations = [ + migrations.AlterField( + model_name='article', + name='reading_time_minutes', + field=models.PositiveIntegerField(blank=True, help_text='Estimated reading time in minutes (based on full article content).', null=True), + ), + ] diff --git a/pythonkr_backend/curation/migrations/0005_category.py b/pythonkr_backend/curation/migrations/0005_category.py new file mode 100644 index 0000000..13c4f08 --- /dev/null +++ b/pythonkr_backend/curation/migrations/0005_category.py @@ -0,0 +1,25 @@ +# Generated by Django 5.2 on 2025-04-20 07:11 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('curation', '0004_alter_article_reading_time_minutes'), + ] + + operations = [ + migrations.CreateModel( + name='Category', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('name', models.CharField(help_text="The name of the category (e.g., 'Web Development', 'LLM').", max_length=100, unique=True)), + ('slug', models.SlugField(blank=True, help_text='A URL-friendly slug for the category.', max_length=100, unique=True)), + ], + options={ + 'verbose_name_plural': 'Categories', + 'ordering': ['name'], + }, + ), + ] diff --git a/pythonkr_backend/curation/migrations/0006_article_categories.py b/pythonkr_backend/curation/migrations/0006_article_categories.py new file mode 100644 index 0000000..22f0cc8 --- /dev/null +++ b/pythonkr_backend/curation/migrations/0006_article_categories.py @@ -0,0 +1,18 @@ +# Generated by Django 5.2 on 2025-04-20 07:25 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('curation', '0005_category'), + ] + + operations = [ + migrations.AddField( + model_name='article', + name='categories', + field=models.ManyToManyField(blank=True, help_text='Select one or more categories for this article.', related_name='articles', to='curation.category'), + ), + ] diff --git a/pythonkr_backend/curation/migrations/__init__.py b/pythonkr_backend/curation/migrations/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pythonkr_backend/curation/models.py b/pythonkr_backend/curation/models.py new file mode 100644 index 0000000..fe81c68 --- /dev/null +++ b/pythonkr_backend/curation/models.py @@ -0,0 +1,254 @@ +from django.db import models +from django.utils.text import slugify +import requests +import readtime +from langchain.chains.summarize import load_summarize_chain +from langchain_openai import ChatOpenAI +from langchain_community.document_loaders.web_base import WebBaseLoader +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.output_parsers import StrOutputParser +from langchain_core.documents import Document +import os + + +class Category(models.Model): + name = models.CharField(max_length=100, unique=True, help_text="The name of the category (e.g., 'Web Development', 'LLM').") + slug = models.SlugField(max_length=100, unique=True, help_text="A URL-friendly slug for the category.", blank=True) # Optional but good practice + + def save(self, *args, **kwargs): + # Auto-generate slug if blank (optional) + if not self.slug: + self.slug = slugify(self.name) + super().save(*args, **kwargs) + + def __str__(self): + return self.name + + class Meta: + verbose_name_plural = "Categories" # Nicer plural name in admin + ordering = ['name'] # Optional: Order categories alphabetically + + +class Article(models.Model): + url = models.URLField(unique=True, max_length=2048, help_text="The unique URL of the article.") + title = models.CharField(max_length=512, blank=True, help_text="Article title (can be fetched automatically or entered manually).") + summary = models.TextField(blank=True, help_text="AI-generated summary of the article.") + summary_ko = models.TextField(blank=True, help_text="Korean translation of the summary (via OpenAI).") + reading_time_minutes = models.PositiveIntegerField( + null=True, blank=True, + help_text="Estimated reading time in minutes (based on full article content)." + ) + categories = models.ManyToManyField( + Category, + blank=True, # An article might have no categories initially or after processing + related_name='articles', # How Category model refers back to Articles + help_text="Select one or more categories for this article." + ) + created_at = models.DateTimeField(auto_now_add=True) + updated_at = models.DateTimeField(auto_now=True) + + def __str__(self): + return self.title or self.url + + def calculate_reading_time(self, full_text: str): + """Calculates reading time based on the provided text.""" + if full_text: + try: + result = readtime.of_text(full_text) + self.reading_time_minutes = result.minutes + except Exception as e: + print(f"Error calculating reading time for article {self.id}: {e}") + self.reading_time_minutes = None # Set to None on calculation error + else: + self.reading_time_minutes = None + + def fetch_and_summarize(self) -> str: + """ + Fetches content, calculates reading time on full text, generates summary, + translates summary, and saves all results. + """ + if not self.url: + return "Error: No URL provided." + + full_content_text = "" # Variable to hold the full text + + try: + # --- Step 1: Load Content --- + loader = WebBaseLoader(self.url) + docs = loader.load() # Load documents + + if not docs or not docs[0].page_content: + return "Error: No content could be loaded from the URL." + + full_content_text = docs[0].page_content # Store full text + + if not self.title and docs[0].metadata.get('title'): + self.title = docs[0].metadata.get('title') + + # --- Step 2: Calculate Reading Time (on full content) --- + self.calculate_reading_time(full_content_text) # Call updated method + + # --- Step 3: Generate Summary --- + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + self.save(update_fields=['title', 'reading_time_minutes', 'updated_at']) # Save what we have + return "Error: OpenAI API key not found. Title/Reading Time saved." + + llm_summarize = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.2) + chain_summarize = load_summarize_chain(llm_summarize, chain_type="map_reduce") + summary_result = chain_summarize.invoke(docs) + summary_text = summary_result.get('output_text', '') + + if not summary_text: + self.summary = "" + self.summary_ko = "" + self.save(update_fields=['title', 'summary', 'summary_ko', 'reading_time_minutes', 'updated_at']) + return "Error extracting summary. Other details saved." + + self.summary = summary_text # Set summary + + # === Integrate category assignment === + categorization_status = "Categorization skipped (no summary)." + if self.summary: # Only categorize if summary was successful + categorization_status = self.assign_categories() # Call the revised method + print(f"Categorization status for article {self.id}: {categorization_status}") + # === End Integration === + + # --- Step 4: Translate Summary (immediately after generation) --- + translation_status = self.translate_summary_to_korean() # Call translation + print(f"Translation status for article {self.id}: {translation_status}") + translation_failed = "Error" in translation_status + + # === Adjust final save === + # ManyToMany fields are saved via .add()/.clear() within assign_categories. + # Do NOT include 'categories' in update_fields. + self.save(update_fields=[ + 'title', + 'summary', + 'summary_ko', + 'reading_time_minutes', + 'updated_at' + # 'categories' is NOT saved here + ]) + # === End Adjust save === + + # Update final message to include categorization status + translation_failed = "Error" in translation_status # Re-evaluate this variable if needed + categorization_failed = "Error" in categorization_status or "Warning" in categorization_status + + final_message = "Fetch, Read Time, Summary completed." + final_message += " Translation failed." if translation_failed else " Translation completed." + final_message += f" {categorization_status}" # Include categorization status message + return final_message + + except requests.exceptions.RequestException as e: + return f"Error fetching URL: {str(e)}" + except ImportError as e: + return f"Error with required libraries: {str(e)}" + except Exception as e: + print(f"Unexpected error during fetch/summarize/translate for {self.id}: {e}") + # Optionally try saving minimal info on unexpected error: + # self.save(update_fields=['title', 'reading_time_minutes', 'summary', 'summary_ko', 'updated_at']) + return f"Unexpected error processing article: {str(e)}" + + def translate_summary_to_korean(self): + """Translates the summary to Korean using the OpenAI API via Langchain.""" + if not self.summary: + self.summary_ko = "" + return "No summary to translate." + + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + return "Error: OpenAI API key not found." + + try: + llm = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.2) + prompt = ChatPromptTemplate.from_messages([ + ("system", "You are a helpful assistant that translates English text to Korean."), + ("user", "Please translate the following English text accurately to Korean:\n\n{english_text}") + ]) + parser = StrOutputParser() + chain = prompt | llm | parser + + translated_text = chain.invoke({"english_text": self.summary}) + + self.summary_ko = translated_text.strip() if translated_text else "" + self.save(update_fields=['summary_ko', 'updated_at']) + return "Summary translated successfully using OpenAI." + + except Exception as e: + print(f"Error translating article {self.id} using OpenAI: {e}") + self.summary_ko = "" # Clear on error + self.save(update_fields=['summary_ko', 'updated_at']) + return f"Error during OpenAI translation: {str(e)[:150]}" + + def assign_categories(self): + """Assigns multiple categories based on the summary using an LLM.""" + if not self.summary: + self.categories.clear() # Clear existing categories if no summary + return "Error: No summary available to categorize." + + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + return "Error: OpenAI API key not found for categorization." + + try: + # Ensure defined categories exist in the DB (or create them) + defined_category_names = [ + 'Web Development', 'MLOps', 'Large Language Models', + 'Data Science', 'AI General', 'Software Engineering', 'Other' + ] + # Use get_or_create to simplify existence check and creation + category_objects = [] + created_names = [] + for name in defined_category_names: + cat, created = Category.objects.get_or_create(name=name) + category_objects.append(cat) + if created: + created_names.append(name) + # Optionally save slug immediately if auto-generated + cat.save() + if created_names: + print(f"Ensured categories exist. Created new: {created_names}") + + # Prepare for LLM call + llm = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.1) + category_list_str = ", ".join([f"'{name}'" for name in defined_category_names]) + + prompt = ChatPromptTemplate.from_messages([ + ("system", f"You are a helpful assistant that categorizes technical articles based on their summary. " + f"Assign one or more relevant categories from the following list: {category_list_str}. " + f"Respond with ONLY the category names, separated by commas (e.g., 'Web Development, Large Language Models'). " + f"If none fit well, respond with 'Other'."), + ("user", "Please categorize the following article summary:\n\n{summary_text}") + ]) + parser = StrOutputParser() + chain = prompt | llm | parser + + response_text = chain.invoke({"summary_text": self.summary}).strip() + + # Parse LLM response and get Category objects + assigned_category_names = [name.strip() for name in response_text.split(',') if name.strip()] + + # Validate against our defined list and get actual Category objects from the DB + valid_categories = Category.objects.filter(name__in=assigned_category_names).filter(name__in=defined_category_names) + valid_category_names = list(valid_categories.values_list('name', flat=True)) + + print(f"LLM suggested: {assigned_category_names}, Validated & Found: {valid_category_names}") + + # Update the article's categories relationship + self.categories.clear() # Remove old associations first + if valid_categories: + self.categories.add(*valid_categories) # Add the new set using the splat operator + return f"Article categories set to: {', '.join(valid_category_names)}." + elif 'Other' in assigned_category_names: + other_cat = Category.objects.filter(name='Other').first() + if other_cat: + self.categories.add(other_cat) + return "Article category set to: Other." + + return "Warning: No valid categories assigned based on LLM response." + + except Exception as e: + print(f"Error categorizing article {self.id}: {e}") + return f"Error during categorization: {str(e)[:150]}" diff --git a/pythonkr_backend/curation/tests.py b/pythonkr_backend/curation/tests.py new file mode 100644 index 0000000..7ce503c --- /dev/null +++ b/pythonkr_backend/curation/tests.py @@ -0,0 +1,3 @@ +from django.test import TestCase + +# Create your tests here. diff --git a/pythonkr_backend/curation/views.py b/pythonkr_backend/curation/views.py new file mode 100644 index 0000000..91ea44a --- /dev/null +++ b/pythonkr_backend/curation/views.py @@ -0,0 +1,3 @@ +from django.shortcuts import render + +# Create your views here. diff --git a/pythonkr_backend/pythonkr_backend/settings/base.py b/pythonkr_backend/pythonkr_backend/settings/base.py index 27ab68d..829e83d 100644 --- a/pythonkr_backend/pythonkr_backend/settings/base.py +++ b/pythonkr_backend/pythonkr_backend/settings/base.py @@ -55,6 +55,7 @@ "bakery", "wagtailbakery", "pythonkr", + "curation", ] MIDDLEWARE = [ @@ -168,4 +169,4 @@ BAKERY_VIEWS = ( "wagtailbakery.views.AllPublishedPagesView", -) \ No newline at end of file +) From 5853566c3cbb10448f1fa4da3d9272277e26db23 Mon Sep 17 00:00:00 2001 From: malkoG Date: Sun, 20 Apr 2025 19:19:13 +0900 Subject: [PATCH 3/6] Add .env.sample and link it in docker-compose for env management --- .env.sample | 1 + docker-compose.yml | 4 +++- 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 .env.sample diff --git a/.env.sample b/.env.sample new file mode 100644 index 0000000..ee5b69b --- /dev/null +++ b/.env.sample @@ -0,0 +1 @@ +OPENAI_API_KEY=sk-proj-xxxxx diff --git a/docker-compose.yml b/docker-compose.yml index c221f3e..c152cb4 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -15,6 +15,8 @@ services: - ./pythonkr_backend:/app/pythonkr_backend ports: - "8080:8080" + env_file: + - .env depends_on: - db environment: @@ -23,4 +25,4 @@ services: POSTGRES_PASSWORD: pktesting volumes: - postgres_data: \ No newline at end of file + postgres_data: From 66c12a91c314662563561544a1aada76336acf91 Mon Sep 17 00:00:00 2001 From: malkoG Date: Sat, 3 May 2025 16:22:51 +0900 Subject: [PATCH 4/6] Install llm instead of langchain --- pyproject.toml | 4 +- uv.lock | 870 +++++++------------------------------------------ 2 files changed, 121 insertions(+), 753 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e6fa11e..a6cc784 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,9 +9,7 @@ dependencies = [ "django>=5.1.7", "gunicorn>=23.0.0", "httpx>=0.28.1", - "langchain>=0.3.23", - "langchain-community>=0.3.21", - "langchain-openai>=0.3.14", 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reading time based on the provided text. + """ if full_text: try: result = readtime.of_text(full_text) @@ -70,34 +66,10 @@ def fetch_and_summarize(self) -> str: if not self.url: return "Error: No URL provided." - full_content_text = "" # Variable to hold the full text - try: - # --- Step 1: Load Content --- - loader = WebBaseLoader(self.url) - docs = loader.load() # Load documents - - if not docs or not docs[0].page_content: - return "Error: No content could be loaded from the URL." - - full_content_text = docs[0].page_content # Store full text + summary_text = get_summary_from_url(self.url) - if not self.title and docs[0].metadata.get('title'): - self.title = docs[0].metadata.get('title') - - # --- Step 2: Calculate Reading Time (on full content) --- - self.calculate_reading_time(full_content_text) # Call updated method - - # --- Step 3: Generate Summary --- - api_key = os.getenv("OPENAI_API_KEY") - if not api_key: - self.save(update_fields=['title', 'reading_time_minutes', 'updated_at']) # Save what we have - return "Error: OpenAI API key not found. Title/Reading Time saved." - - llm_summarize = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.2) - chain_summarize = load_summarize_chain(llm_summarize, chain_type="map_reduce") - summary_result = chain_summarize.invoke(docs) - summary_text = summary_result.get('output_text', '') + self.calculate_reading_time(summary_text) # Call updated method if not summary_text: self.summary = "" @@ -107,70 +79,46 @@ def fetch_and_summarize(self) -> str: self.summary = summary_text # Set summary - # === Integrate category assignment === categorization_status = "Categorization skipped (no summary)." if self.summary: # Only categorize if summary was successful categorization_status = self.assign_categories() # Call the revised method print(f"Categorization status for article {self.id}: {categorization_status}") - # === End Integration === - # --- Step 4: Translate Summary (immediately after generation) --- translation_status = self.translate_summary_to_korean() # Call translation print(f"Translation status for article {self.id}: {translation_status}") translation_failed = "Error" in translation_status - # === Adjust final save === - # ManyToMany fields are saved via .add()/.clear() within assign_categories. - # Do NOT include 'categories' in update_fields. self.save(update_fields=[ 'title', 'summary', 'summary_ko', 'reading_time_minutes', 'updated_at' - # 'categories' is NOT saved here ]) - # === End Adjust save === - # Update final message to include categorization status translation_failed = "Error" in translation_status # Re-evaluate this variable if needed - categorization_failed = "Error" in categorization_status or "Warning" in categorization_status final_message = "Fetch, Read Time, Summary completed." final_message += " Translation failed." if translation_failed else " Translation completed." final_message += f" {categorization_status}" # Include categorization status message return final_message - except requests.exceptions.RequestException as e: - return f"Error fetching URL: {str(e)}" except ImportError as e: return f"Error with required libraries: {str(e)}" except Exception as e: print(f"Unexpected error during fetch/summarize/translate for {self.id}: {e}") - # Optionally try saving minimal info on unexpected error: - # self.save(update_fields=['title', 'reading_time_minutes', 'summary', 'summary_ko', 'updated_at']) return f"Unexpected error processing article: {str(e)}" def translate_summary_to_korean(self): - """Translates the summary to Korean using the OpenAI API via Langchain.""" + """ + Translates the summary to Korean using the OpenAI API via Langchain. + """ if not self.summary: self.summary_ko = "" return "No summary to translate." - api_key = os.getenv("OPENAI_API_KEY") - if not api_key: - return "Error: OpenAI API key not found." - try: - llm = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.2) - prompt = ChatPromptTemplate.from_messages([ - ("system", "You are a helpful assistant that translates English text to Korean."), - ("user", "Please translate the following English text accurately to Korean:\n\n{english_text}") - ]) - parser = StrOutputParser() - chain = prompt | llm | parser - - translated_text = chain.invoke({"english_text": self.summary}) + translated_text = translate_to_korean(self.summary) self.summary_ko = translated_text.strip() if translated_text else "" self.save(update_fields=['summary_ko', 'updated_at']) @@ -188,17 +136,11 @@ def assign_categories(self): self.categories.clear() # Clear existing categories if no summary return "Error: No summary available to categorize." - api_key = os.getenv("OPENAI_API_KEY") - if not api_key: - return "Error: OpenAI API key not found for categorization." - try: - # Ensure defined categories exist in the DB (or create them) defined_category_names = [ 'Web Development', 'MLOps', 'Large Language Models', 'Data Science', 'AI General', 'Software Engineering', 'Other' ] - # Use get_or_create to simplify existence check and creation category_objects = [] created_names = [] for name in defined_category_names: @@ -206,37 +148,19 @@ def assign_categories(self): category_objects.append(cat) if created: created_names.append(name) - # Optionally save slug immediately if auto-generated cat.save() + if created_names: print(f"Ensured categories exist. Created new: {created_names}") - # Prepare for LLM call - llm = ChatOpenAI(api_key=api_key, model_name="gpt-4o", temperature=0.1) - category_list_str = ", ".join([f"'{name}'" for name in defined_category_names]) - - prompt = ChatPromptTemplate.from_messages([ - ("system", f"You are a helpful assistant that categorizes technical articles based on their summary. " - f"Assign one or more relevant categories from the following list: {category_list_str}. " - f"Respond with ONLY the category names, separated by commas (e.g., 'Web Development, Large Language Models'). " - f"If none fit well, respond with 'Other'."), - ("user", "Please categorize the following article summary:\n\n{summary_text}") - ]) - parser = StrOutputParser() - chain = prompt | llm | parser - - response_text = chain.invoke({"summary_text": self.summary}).strip() - - # Parse LLM response and get Category objects + response_text = categorize_summary(self.summary, defined_category_names).replace("'", "").replace('"', "") assigned_category_names = [name.strip() for name in response_text.split(',') if name.strip()] - # Validate against our defined list and get actual Category objects from the DB valid_categories = Category.objects.filter(name__in=assigned_category_names).filter(name__in=defined_category_names) valid_category_names = list(valid_categories.values_list('name', flat=True)) print(f"LLM suggested: {assigned_category_names}, Validated & Found: {valid_category_names}") - # Update the article's categories relationship self.categories.clear() # Remove old associations first if valid_categories: self.categories.add(*valid_categories) # Add the new set using the splat operator diff --git a/pythonkr_backend/curation/utils.py b/pythonkr_backend/curation/utils.py new file mode 100644 index 0000000..6fd810d --- /dev/null +++ b/pythonkr_backend/curation/utils.py @@ -0,0 +1,77 @@ +import httpx +import llm +from pydantic import BaseModel + +import os + +class Result(BaseModel): + categories: list[str] + +GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY") + +def fetch_content_from_url(url: str) -> str: + """ + Fetches the content from the given URL. + + Args: + url (str): The URL to fetch content from. + + Returns: + str: The content fetched from the URL. + """ + llm_friendly_jina_ai_url = f'https://r.jina.ai/{url}' + response = httpx.get(llm_friendly_jina_ai_url) + return response.text + + +def parse_contents(contents: str): + headers, markdown_body = contents.split("Markdown Content:",1) + header = {} + for header_line in headers.splitlines(): + if header_line.strip() != "": + header_name, header_value = header_line.split(":", 1) + header[header_name.strip()] = header_value.strip() + # most case + # Title, URL Source + return header, markdown_body + +def get_summary_from_url(url: str): + contents = fetch_content_from_url(url) + model = llm.get_model("gemini-2.5-pro-exp-03-25") + model.key = GEMINI_API_KEY + response = model.prompt( + contents, + system="""make readable title and summary in korean as markdown format, + summary should be list of minimum 3, maximum 5 items""" + ) + #header, markdown_body = parse_contents(contents) + return response.text() + +def translate_to_korean(content: str): + english_text = content + model = llm.get_model("gemini-2.5-pro-exp-03-25") + model.key = GEMINI_API_KEY + response = model.prompt( + f"Please translate the following English text accurately to Korean.\n\n{english_text}", + system="Your are a helpful assistant that translates English text to Korean.", + ) + + return response.text() + + +def categorize_summary(summary: str, categories: list[str]): + category_list_str = [f"'{category}'" for category in categories] + model = llm.get_model("gemini-2.5-pro-exp-03-25") + model.key = GEMINI_API_KEY + response = model.prompt( + f"Please categories the following article summary:\n\n{summary}", + system=f""" +- You are a helpful assistant that categorizes technical articles based on their summary. +- Assign one or more relevant categories from the following list: {category_list_str}. +- Respond with ONLY the category names, separated by commas (e.g., 'Web Development, Large Language Models'). +- If none fit well, respond with 'Other'. + """, + ) + + return response.text() +