From 4f7ed34b534fc66074e25f44d2b482f82218af5c Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 28 Dec 2025 12:44:46 +0530 Subject: [PATCH 01/19] (chore): upgrade package newspaper3k -> newspaper4k [compatibility] python >= 3.12 (fix): removed incorrect pinecone client init in get_rag.py (fix): centralize groq model change from llm_config.py --- backend/app/llm_config.py | 4 + .../app/modules/bias_detection/check_bias.py | 3 +- backend/app/modules/chat/llm_processing.py | 3 +- .../app/modules/facts_check/llm_processing.py | 5 +- .../langgraph_nodes/generate_perspective.py | 3 +- backend/app/modules/langgraph_nodes/judge.py | 3 +- .../app/modules/langgraph_nodes/sentiment.py | 3 +- backend/pyproject.toml | 2 +- backend/uv.lock | 161 +++++++++++++----- 9 files changed, 135 insertions(+), 52 deletions(-) create mode 100644 backend/app/llm_config.py diff --git a/backend/app/llm_config.py b/backend/app/llm_config.py new file mode 100644 index 00000000..4cb96d2c --- /dev/null +++ b/backend/app/llm_config.py @@ -0,0 +1,4 @@ +import os + +# Default to a stable model +LLM_MODEL = os.getenv("LLM_MODEL", "llama-3.3-70b-versatile") \ No newline at end of file diff --git a/backend/app/modules/bias_detection/check_bias.py b/backend/app/modules/bias_detection/check_bias.py index a0644529..d814fdaa 100644 --- a/backend/app/modules/bias_detection/check_bias.py +++ b/backend/app/modules/bias_detection/check_bias.py @@ -27,6 +27,7 @@ from dotenv import load_dotenv import json from app.logging.logging_config import setup_logger +from app.llm_config import LLM_MODEL logger = setup_logger(__name__) @@ -61,7 +62,7 @@ def check_bias(text): "content": (f"Give bias score to the following article \n\n{text}"), }, ], - model="gemma2-9b-it", + model=LLM_MODEL, temperature=0.3, max_tokens=512, ) diff --git a/backend/app/modules/chat/llm_processing.py b/backend/app/modules/chat/llm_processing.py index 2d5134fa..9fe0ace3 100644 --- a/backend/app/modules/chat/llm_processing.py +++ b/backend/app/modules/chat/llm_processing.py @@ -27,6 +27,7 @@ from groq import Groq from dotenv import load_dotenv from app.logging.logging_config import setup_logger +from app.llm_config import LLM_MODEL logger = setup_logger(__name__) @@ -55,7 +56,7 @@ def ask_llm(question, docs): """ response = client.chat.completions.create( - model="gemma2-9b-it", + model=LLM_MODEL, messages=[ {"role": "system", "content": "Use only the context to answer."}, {"role": "user", "content": prompt}, diff --git a/backend/app/modules/facts_check/llm_processing.py b/backend/app/modules/facts_check/llm_processing.py index dc223a85..c3ead204 100644 --- a/backend/app/modules/facts_check/llm_processing.py +++ b/backend/app/modules/facts_check/llm_processing.py @@ -29,6 +29,7 @@ import json import re from app.logging.logging_config import setup_logger +from app.llm_config import LLM_MODEL logger = setup_logger(__name__) @@ -63,7 +64,7 @@ def run_claim_extractor_sdk(state): ), }, ], - model="gemma2-9b-it", + model=LLM_MODEL, temperature=0.3, max_tokens=512, ) @@ -128,7 +129,7 @@ def run_fact_verifier_sdk(search_results): ), }, ], - model="gemma2-9b-it", + model=LLM_MODEL, temperature=0.3, max_tokens=256, ) diff --git a/backend/app/modules/langgraph_nodes/generate_perspective.py b/backend/app/modules/langgraph_nodes/generate_perspective.py index be0c81f3..e79d2a35 100644 --- a/backend/app/modules/langgraph_nodes/generate_perspective.py +++ b/backend/app/modules/langgraph_nodes/generate_perspective.py @@ -21,6 +21,7 @@ from app.utils.prompt_templates import generation_prompt +from app.llm_config import LLM_MODEL from langchain_groq import ChatGroq from pydantic import BaseModel, Field from app.logging.logging_config import setup_logger @@ -36,7 +37,7 @@ class PerspectiveOutput(BaseModel): perspective: str = Field(..., description="Generated opposite perspective") -my_llm = "llama-3.3-70b-versatile" +my_llm = LLM_MODEL llm = ChatGroq(model=my_llm, temperature=0.7) diff --git a/backend/app/modules/langgraph_nodes/judge.py b/backend/app/modules/langgraph_nodes/judge.py index 57100301..9613ad7f 100644 --- a/backend/app/modules/langgraph_nodes/judge.py +++ b/backend/app/modules/langgraph_nodes/judge.py @@ -19,12 +19,13 @@ from langchain_groq import ChatGroq from langchain.schema import HumanMessage from app.logging.logging_config import setup_logger +from app.llm_config import LLM_MODEL logger = setup_logger(__name__) # Init once groq_llm = ChatGroq( - model="gemma2-9b-it", + model=LLM_MODEL, temperature=0.0, max_tokens=10, ) diff --git a/backend/app/modules/langgraph_nodes/sentiment.py b/backend/app/modules/langgraph_nodes/sentiment.py index fef1d39d..68a76232 100644 --- a/backend/app/modules/langgraph_nodes/sentiment.py +++ b/backend/app/modules/langgraph_nodes/sentiment.py @@ -18,6 +18,7 @@ from groq import Groq from dotenv import load_dotenv from app.logging.logging_config import setup_logger +from app.llm_config import LLM_MODEL logger = setup_logger(__name__) @@ -49,7 +50,7 @@ def run_sentiment_sdk(state): ), }, ], - model="gemma2-9b-it", + model=LLM_MODEL, temperature=0.2, max_tokens=3, ) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 70037f72..deb32a55 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -16,7 +16,7 @@ dependencies = [ "langchain-groq>=0.3.2", "langgraph>=0.4.8", "logging>=0.4.9.6", - "newspaper3k>=0.2.8", + "newspaper4k>=0.9.4.1", "nltk>=3.9.1", "pinecone>=7.3.0", "rake-nltk>=1.0.6", diff --git a/backend/uv.lock b/backend/uv.lock index fc1e19b5..138a1f1e 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -1,6 +1,10 @@ version = 1 revision = 2 requires-python = ">=3.13" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version < '3.14'", +] [[package]] name = "aiohappyeyeballs" @@ -113,7 +117,7 @@ dependencies = [ { name = "langchain-groq" }, { name = "langgraph" }, { name = "logging" }, - { name = "newspaper3k" }, + { name = 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(enhancement): sentiment analysis and fact check run parallely \n clean_text->extract_claims->plan_searches->execute_searches->verify_facts --- backend/app/modules/fact_check_tool.py | 166 ++++++++++++++++++ backend/app/modules/langgraph_builder.py | 38 ++-- .../app/modules/langgraph_nodes/sentiment.py | 68 ++++++- 3 files changed, 251 insertions(+), 21 deletions(-) create mode 100644 backend/app/modules/fact_check_tool.py diff --git a/backend/app/modules/fact_check_tool.py b/backend/app/modules/fact_check_tool.py new file mode 100644 index 00000000..b19f6c52 --- /dev/null +++ b/backend/app/modules/fact_check_tool.py @@ -0,0 +1,166 @@ +""" +fact checking tool node implementation to replace the google search + +""" + +import os +import json +import asyncio +from groq import Groq +from langchain_community.tools import DuckDuckGoSearchRun +from app.logging.logging_config import setup_logger +from dotenv import load_dotenv +from app.llm_config import LLM_MODEL + +load_dotenv() + +client = Groq(api_key=os.getenv("GROQ_API_KEY")) +search_tool = DuckDuckGoSearchRun() + +logger = setup_logger(__name__) + +async def extract_claims_node(state): + logger.info("--- Fact Check Step 1: Extracting Claims ---") + try: + text = state.get("cleaned_text", "") + + response = await asyncio.to_thread( + client.chat.completions.create, + messages=[ + { + "role": "system", + "content": "Extract specific, verifiable factual claims from the text. Ignore opinions. Return a simple list of strings, one per line." + }, + {"role": "user", "content": text[:4000]} + ], + model=LLM_MODEL, + temperature=0.0 + ) + + raw_content = response.choices[0].message.content + + claims = [line.strip("- *") for line in raw_content.split("\n") if len(line.strip()) > 10] + + logger.info(f"Extracted {len(claims)} claims.") + return {"claims": claims} + + except Exception as e: + logger.error(f"Error extraction claims: {e}") + return {"claims": []} + +async def plan_searches_node(state): + logger.info("--- Fact Check Step 2: Planning Searches ---") + claims = state.get("claims", []) + + if not claims: + return {"search_queries": []} + + claims_text = "\n".join([f"{i}. {c}" for i, c in enumerate(claims)]) + + prompt = f""" + You are a search query generator. + For each claim, generate a search query to verify it. + + Output MUST be valid JSON in this format: + {{ + "searches": [ + {{"query": "search query 1", "claim_id": 0}}, + {{"query": "search query 2", "claim_id": 1}} + ] + }} + + Claims: + {claims_text} + """ + + try: + response = await asyncio.to_thread( + client.chat.completions.create, + messages=[{"role": "user", "content": prompt}], + model=LLM_MODEL, + temperature=0.0, + response_format={"type": "json_object"} + ) + + plan_json = json.loads(response.choices[0].message.content) + queries = plan_json.get("searches", []) + + return {"search_queries": queries} + + except Exception as e: + logger.error(f"Failed to plan searches: {e}") + return {"search_queries": []} + +async def execute_searches_node(state): + logger.info("--- Fact Check Step 3: Executing Parallel Searches ---") + queries = state.get("search_queries", []) + + if not queries: + return {"search_results": []} + + async def run_one_search(q): + try: + query_str = q.get("query") + c_id = q.get("claim_id") + + res = await asyncio.to_thread(search_tool.invoke, query_str) + logger.info(f"Search Result for Claim {c_id}: {res[:200]}...") + return {"claim_id": c_id, "result": res} + except Exception as e: + return {"claim_id": q.get("claim_id"), "result": "Search failed"} + + results = await asyncio.gather(*[run_one_search(q) for q in queries]) + + logger.info(f"Completed {len(results)} searches.") + return {"search_results": results} + +async def verify_facts_node(state): + logger.info("--- Fact Check Step 4: Verifying Facts ---") + claims = state.get("claims", []) + results = state.get("search_results", []) + + if not claims: + return {"facts": [], "fact_check_done": True} + + context = "Verify these claims based on the search results:\n" + for item in results: + c_id = item["claim_id"] + if c_id < len(claims): + context += f"\nClaim: {claims[c_id]}\nEvidence: {item['result']}\n" + + try: + response = await asyncio.to_thread( + client.chat.completions.create, + messages=[ + { + "role": "system", + "content": "You are a strict fact checker. Return a JSON list of objects with keys: 'claim', 'status' (True/False/Unverified), and 'reason'." + }, + {"role": "user", "content": context} + ], + model=LLM_MODEL, + temperature=0.0, + response_format={"type": "json_object"} + ) + + final_verdict_str = response.choices[0].message.content + + data = json.loads(final_verdict_str) + + facts_list = [] + if isinstance(data, dict): + # Look for common keys if wrapped + if "facts" in data: + facts_list = data["facts"] + elif "verified_claims" in data: + facts_list = data["verified_claims"] + else: + facts_list = [data] + elif isinstance(data, list): + facts_list = data + + return {"facts": facts_list, "fact_check_done": True} + + except Exception as e: + logger.error(f"Verification failed: {e}") + return {"facts": [], "fact_check_done": True} \ No newline at end of file diff --git a/backend/app/modules/langgraph_builder.py b/backend/app/modules/langgraph_builder.py index 7729f945..b219e115 100644 --- a/backend/app/modules/langgraph_builder.py +++ b/backend/app/modules/langgraph_builder.py @@ -6,12 +6,12 @@ and retry logic. Workflow: - 1. Sentiment analysis on the cleaned text. - 2. Fact-checking detected claims. - 3. Generating a counter-perspective. - 4. Judging the quality of the generated perspective. - 5. Storing results and sending them downstream. - 6. Error handling at any step if failures occur. + 1. Parallel analysis: sentiment analysis and fact checking tool pipeline + (extract_claims -> plan_searches -> execute_searches -> verify_facts) + 2. Generating a counter-perspective. + 3. Judging the quality of the generated perspective. + 4. Storing results and sending. + 5. Error handling at any step if failures occur. Core Features: - Uses a TypedDict (`MyState`) to define the shape of the pipeline's @@ -31,18 +31,18 @@ """ +from typing import List, Any from langgraph.graph import StateGraph +from typing_extensions import TypedDict + from app.modules.langgraph_nodes import ( sentiment, - fact_check, generate_perspective, judge, store_and_send, error_handler, ) -from typing_extensions import TypedDict - class MyState(TypedDict): cleaned_text: str @@ -52,29 +52,26 @@ class MyState(TypedDict): score: int retries: int status: str + claims: List[str] + search_queries: List[Any] + search_results: List[Any] def build_langgraph(): graph = StateGraph(MyState) - graph.add_node("sentiment_analysis", sentiment.run_sentiment_sdk) - graph.add_node("fact_checking", fact_check.run_fact_check) + # parallel analysis runs sentiment and fact_check tool pipeline in parallel + graph.add_node("parallel_analysis", sentiment.run_parallel_analysis) + graph.add_node("generate_perspective", generate_perspective.generate_perspective) graph.add_node("judge_perspective", judge.judge_perspective) graph.add_node("store_and_send", store_and_send.store_and_send) graph.add_node("error_handler", error_handler.error_handler) - graph.set_entry_point( - "sentiment_analysis", - ) + graph.set_entry_point("parallel_analysis") graph.add_conditional_edges( - "sentiment_analysis", - lambda x: ("error_handler" if x.get("status") == "error" else "fact_checking"), - ) - - graph.add_conditional_edges( - "fact_checking", + "parallel_analysis", lambda x: ( "error_handler" if x.get("status") == "error" else "generate_perspective" ), @@ -101,6 +98,7 @@ def build_langgraph(): else "store_and_send" ), ) + graph.add_conditional_edges( "store_and_send", lambda x: ("error_handler" if x.get("status") == "error" else "__end__"), diff --git a/backend/app/modules/langgraph_nodes/sentiment.py b/backend/app/modules/langgraph_nodes/sentiment.py index 68a76232..0726e061 100644 --- a/backend/app/modules/langgraph_nodes/sentiment.py +++ b/backend/app/modules/langgraph_nodes/sentiment.py @@ -11,14 +11,19 @@ Functions: run_sentiment_sdk(state: dict) -> dict: Analyzes sentiment and updates the state with the result. + + run_parallel_analysis(state: dict) -> dict: + Runs sentiment analysis and fact-checking tool nodes in parallel. + Combines claims, search_queries, search_results, and facts into state. """ - +import asyncio import os from groq import Groq from dotenv import load_dotenv from app.logging.logging_config import setup_logger from app.llm_config import LLM_MODEL +from app.modules import fact_check_tool logger = setup_logger(__name__) @@ -27,6 +32,67 @@ client = Groq(api_key=os.getenv("GROQ_API_KEY")) +async def run_parallel_analysis(state): + """ + The fact-checking pipeline runs sequentially: + extract_claims -> plan_searches -> execute_searches -> verify_facts + """ + async def run_fact_check_pipeline(state): + try: + claims_result = await fact_check_tool.extract_claims_node(state) + current_state = {**state, **claims_result} + searches_result = await fact_check_tool.plan_searches_node(current_state) + current_state = {**current_state, **searches_result} + + exec_result = await fact_check_tool.execute_searches_node(current_state) + current_state = {**current_state, **exec_result} + verify_result = await fact_check_tool.verify_facts_node(current_state) + current_state = {**current_state, **verify_result} + + return { + "claims": current_state.get("claims", []), + "search_queries": current_state.get("search_queries", []), + "search_results": current_state.get("search_results", []), + "facts": current_state.get("facts", []), + "status": "success" + } + except Exception as e: + logger.exception(f"Error in fact_check_pipeline: {e}") + return { + "status": "error", + "error_from": "fact_checking", + "message": str(e) + } + + sentiment_task = asyncio.to_thread(run_sentiment_sdk, state) + fact_check_task = run_fact_check_pipeline(state) + + sentiment_result, fact_check_result = await asyncio.gather( + sentiment_task, fact_check_task + ) + if sentiment_result.get("status") == "error": + return { + "status": "error", + "error_from": sentiment_result.get("error_from", "sentiment_analysis"), + "message": sentiment_result.get("message", "Unknown error") + } + if fact_check_result.get("status") == "error": + return { + "status": "error", + "error_from": fact_check_result.get("error_from", "fact_checking"), + "message": fact_check_result.get("message", "Unknown error") + } + + return { + **state, + "sentiment": sentiment_result.get("sentiment"), + "claims": fact_check_result.get("claims", []), + "search_queries": fact_check_result.get("search_queries", []), + "search_results": fact_check_result.get("search_results", []), + "facts": fact_check_result.get("facts", []), + "status": "success" + } + def run_sentiment_sdk(state): try: text = state.get("cleaned_text") From b48af96deb93629ae46d70f7e30faea7a0d8bd43 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 29 Dec 2025 18:43:54 +0530 Subject: [PATCH 03/19] docs: minor fix in env variables needed to setup --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 90ac0e13..c9c47883 100644 --- a/README.md +++ b/README.md @@ -167,6 +167,7 @@ GROQ_API_KEY= PINECONE_API_KEY = PORT = 8000 SEARCH_KEY = +HF_TOKEN = ``` *Run backend:* From f963b9747520c68ace554a4a81dbd14aa91adf98 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 29 Dec 2025 18:47:47 +0530 Subject: [PATCH 04/19] (refactor): Now Graph runs asynchronously due to parallel executing nodes i.e sentiment node and fact check node (chore): /process route awaits langgraph build compile --- backend/app/modules/pipeline.py | 5 +++-- backend/app/routes/routes.py | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/backend/app/modules/pipeline.py b/backend/app/modules/pipeline.py index 3e4a844e..1c81d57c 100644 --- a/backend/app/modules/pipeline.py +++ b/backend/app/modules/pipeline.py @@ -38,6 +38,7 @@ from app.modules.langgraph_builder import build_langgraph from app.logging.logging_config import setup_logger import json +import asyncio logger = setup_logger(__name__) @@ -64,8 +65,8 @@ def run_scraper_pipeline(url: str) -> dict: return result -def run_langgraph_workflow(state: dict): +async def run_langgraph_workflow(state: dict): """Execute the pre-compiled LangGraph workflow.""" - result = _LANGGRAPH_WORKFLOW.invoke(state) + result = await _LANGGRAPH_WORKFLOW.ainvoke(state) logger.info("LangGraph workflow executed successfully.") return result diff --git a/backend/app/routes/routes.py b/backend/app/routes/routes.py index 6988f5e8..f9f01c7b 100644 --- a/backend/app/routes/routes.py +++ b/backend/app/routes/routes.py @@ -71,7 +71,7 @@ async def bias_detection(request: URlRequest): async def run_pipelines(request: URlRequest): article_text = await asyncio.to_thread(run_scraper_pipeline, (request.url)) logger.debug(f"Scraper output: {json.dumps(article_text, indent=2, ensure_ascii=False)}") - data = await asyncio.to_thread(run_langgraph_workflow, (article_text)) + data = await run_langgraph_workflow(article_text) return data From 0bc84ccd69b586592afa5be13c7efa391d923b2b Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 29 Dec 2025 18:52:21 +0530 Subject: [PATCH 05/19] fix: update chunk_rag_data to handle dynamic keys and prevent crashes - Updated chunk_rag_data.py to support both new (claim, status) and old (original_claim, erdict) key formats from the fact-checker. - Added logic to correctly parse perspective whether it is a Pydantic model or a dict. - implemented skipping of malformed facts instead of raising valueErr. - compatibility with the new parallel DuckDuckGo fact-checking workflow. --- backend/app/modules/chat/get_rag_data.py | 2 +- .../modules/vector_store/chunk_rag_data.py | 98 ++++++++++--------- 2 files changed, 54 insertions(+), 46 deletions(-) diff --git a/backend/app/modules/chat/get_rag_data.py b/backend/app/modules/chat/get_rag_data.py index 092e4587..23f9a37c 100644 --- a/backend/app/modules/chat/get_rag_data.py +++ b/backend/app/modules/chat/get_rag_data.py @@ -31,7 +31,7 @@ load_dotenv() -pc = Pinecone(os.getenv("PINECONE_API_KEY")) +pc = Pinecone(api_key=os.getenv("PINECONE_API_KEY")) index = pc.Index("perspective") diff --git a/backend/app/modules/vector_store/chunk_rag_data.py b/backend/app/modules/vector_store/chunk_rag_data.py index 7e2a32eb..00b40d12 100644 --- a/backend/app/modules/vector_store/chunk_rag_data.py +++ b/backend/app/modules/vector_store/chunk_rag_data.py @@ -32,71 +32,79 @@ def chunk_rag_data(data): try: - # Validate required top-level fields required_fields = ["cleaned_text", "perspective", "facts"] for field in required_fields: if field not in data: - raise ValueError(f"Missing required field: {field}") + if field == "facts": + data["facts"] = [] + else: + raise ValueError(f"Missing required field: {field}") if not isinstance(data["facts"], list): - raise ValueError("Facts must be a list") - - # Validate perspective structure - perspective_data = data["perspective"] - if hasattr(perspective_data, "dict"): - perspective_data = perspective_data.dict() + logger.warning("Facts is not a list. Treating as empty.") + data["facts"] = [] article_id = generate_id(data["cleaned_text"]) chunks = [] - # Add counter-perspective chunk - perspective_obj = data["perspective"] - - # Optional safety check + perspective_data = data["perspective"] + + if hasattr(perspective_data, "dict"): + p_data = perspective_data.dict() + elif hasattr(perspective_data, "model_dump"): + p_data = perspective_data.model_dump() + elif isinstance(perspective_data, dict): + p_data = perspective_data + else: + p_data = { + "perspective": getattr(perspective_data, "perspective", ""), + "reasoning": getattr(perspective_data, "reasoning", "") + } - if not ( - hasattr(perspective_obj, "perspective") - and hasattr(perspective_obj, "reasoning") - ): - raise ValueError("Perspective object missing required fields") + p_text = p_data.get("perspective", "") + raw_reasoning = p_data.get("reasoning", "") + if isinstance(raw_reasoning, list): + p_reason = "\n".join(raw_reasoning) + else: + p_reason = str(raw_reasoning) - chunks.append( - { + if p_text: + chunks.append({ "id": f"{article_id}-perspective", - "text": perspective_obj.perspective, + "text": p_text, "metadata": { "type": "counter-perspective", - "reasoning": perspective_obj.reasoning, + "reasoning": p_reason, "article_id": article_id, }, - } - ) + }) - # Add each fact as a separate chunk for i, fact in enumerate(data["facts"]): - fact_fields = ["original_claim", "verdict", "explanation", "source_link"] - for field in fact_fields: - if field not in fact: - raise ValueError( - f"Missing required fact field: {field} in fact index {i}" - ) - - chunks.append( - { - "id": f"{article_id}-fact-{i}", - "text": fact["original_claim"], - "metadata": { - "type": "fact", - "verdict": fact["verdict"], - "explanation": fact["explanation"], - "source_link": fact["source_link"], - "article_id": article_id, - }, - } - ) + claim_text = fact.get("claim", fact.get("original_claim", "")) + verdict = fact.get("status", fact.get("verdict", "Unverified")) + explanation = fact.get("reason", fact.get("explanation", "No explanation provided")) + source = fact.get("source_link", "N/A") + + # SKIP invalid facts instead of Crashing + if not claim_text: + logger.warning(f"Skipping fact index {i}: Missing claim text.") + continue + + chunks.append({ + "id": f"{article_id}-fact-{i}", + "text": claim_text, + "metadata": { + "type": "fact", + "verdict": verdict, + "explanation": explanation, + "source_link": source, + "article_id": article_id, + }, + }) + logger.info(f"Generated {len(chunks)} chunks for storage.") return chunks except Exception as e: logger.exception(f"Failed to chunk the data: {e}") - raise + return [] \ No newline at end of file From ef1f0bc3b02c7daf890a6669497807f7cfa29909 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 29 Dec 2025 18:55:27 +0530 Subject: [PATCH 06/19] fix: updated schema and fact parsing in generate_perspective -'PerspectiveOutput' pydantic model to handle reasoning as a list for claims --- .../langgraph_nodes/generate_perspective.py | 27 ++++++++++--------- 1 file changed, 14 insertions(+), 13 deletions(-) diff --git a/backend/app/modules/langgraph_nodes/generate_perspective.py b/backend/app/modules/langgraph_nodes/generate_perspective.py index e79d2a35..605b63dc 100644 --- a/backend/app/modules/langgraph_nodes/generate_perspective.py +++ b/backend/app/modules/langgraph_nodes/generate_perspective.py @@ -25,7 +25,7 @@ from langchain_groq import ChatGroq from pydantic import BaseModel, Field from app.logging.logging_config import setup_logger - +from typing import List logger = setup_logger(__name__) @@ -33,7 +33,7 @@ class PerspectiveOutput(BaseModel): - reasoning: str = Field(..., description="Chain-of-thought reasoning steps") + reasoning: List[str] = Field(description="Chain-of-thought reasoning steps", alias="reasoning_steps") perspective: str = Field(..., description="Generated opposite perspective") @@ -57,17 +57,18 @@ def generate_perspective(state): if not text: raise ValueError("Missing or empty 'cleaned_text' in state") - elif not facts: - raise ValueError("Missing or empty 'facts' in state") - - facts_str = "\n".join( - [ - f"Claim: {f['original_claim']}\n" - "Verdict: {f['verdict']}\nExplanation: " - "{f['explanation']}" - for f in state["facts"] - ] - ) + if not facts: + logger.warning("No facts found in state. Generating perspective based on text only.") + facts_str = "No specific claims verified." + else: + facts_str = "\n".join( + [ + f"Claim: {f.get('claim', f.get('original_claim', 'Unknown Claim'))}\n" + f"Verdict: {f.get('status', f.get('verdict', 'Unknown Verdict'))}\n" + f"Explanation: {f.get('reason', f.get('explanation', 'No explanation'))}" + for f in facts + ] + ) result = chain.invoke( { From 32beeb8112c245bec6271fd7d4eab44eb21b67ee Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 12:15:00 +0530 Subject: [PATCH 07/19] chore(backend): update dependencies for NLTK and FastAPI compatibility --- backend/pyproject.toml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index deb32a55..7e2894e6 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -9,7 +9,6 @@ dependencies = [ "dotenv>=0.9.9", "duckduckgo-search>=8.0.4", "fastapi>=0.115.12", - "google-search-results>=2.4.2", "groq>=0.28.0", "langchain>=0.3.25", "langchain-community>=0.3.25", @@ -17,7 +16,7 @@ dependencies = [ "langgraph>=0.4.8", "logging>=0.4.9.6", "newspaper4k>=0.9.4.1", - "nltk>=3.9.1", + "nltk>=3.9.1", #should remove this in next PR as this is not needed "pinecone>=7.3.0", "rake-nltk>=1.0.6", "readability-lxml>=0.8.4.1", From 938853ad3e65022547d5882ca8e08b72ac3e94e8 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 13:45:00 +0530 Subject: [PATCH 08/19] chore(config): update tailwind config and add static assets --- frontend/assets/BiasDetectionBG.png | Bin 0 -> 49929 bytes frontend/assets/DeepResearchBG.png | Bin 0 -> 41667 bytes frontend/assets/FactCheckBG.png | Bin 0 -> 47735 bytes frontend/assets/OwnKeysBG.png | Bin 0 -> 32954 bytes frontend/assets/chatai.svg | 10 ++ frontend/assets/dropdown.svg | 3 + frontend/assets/newchaticon.svg | 6 + frontend/assets/sendbtn.svg | 3 + frontend/assets/settingsicon.svg | 4 + frontend/tailwind.config.ts | 188 +++++++++++++++------------- 10 files 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z+@vlKiBAgQ$|kZTigypZ5KIh>{Lg~%QZFLL6HV@4?2rB3_4t%lx&4-} z!$IVG(-&J#r9p{lJ6XIWy>KKuX*M+% ztx-)xtrjTQ=FG6+y$=7~Q{}S$eLp=t5P!1T9P^I+eVyDW|DGr + + + + + + + + + diff --git a/frontend/assets/dropdown.svg b/frontend/assets/dropdown.svg new file mode 100644 index 00000000..8a29fea7 --- /dev/null +++ b/frontend/assets/dropdown.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/assets/newchaticon.svg b/frontend/assets/newchaticon.svg new file mode 100644 index 00000000..45c966b2 --- /dev/null +++ b/frontend/assets/newchaticon.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/frontend/assets/sendbtn.svg b/frontend/assets/sendbtn.svg new file mode 100644 index 00000000..1073563c --- /dev/null +++ b/frontend/assets/sendbtn.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/assets/settingsicon.svg b/frontend/assets/settingsicon.svg new file mode 100644 index 00000000..eca0fb37 --- /dev/null +++ b/frontend/assets/settingsicon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/tailwind.config.ts b/frontend/tailwind.config.ts index 8d7ff663..3f2a9202 100644 --- a/frontend/tailwind.config.ts +++ b/frontend/tailwind.config.ts @@ -1,96 +1,116 @@ import type { Config } from "tailwindcss"; const config: Config = { - darkMode: ["class"], - content: [ + darkMode: ["class"], + content: [ "./pages/**/*.{js,ts,jsx,tsx,mdx}", "./components/**/*.{js,ts,jsx,tsx,mdx}", "./app/**/*.{js,ts,jsx,tsx,mdx}", - "*.{js,ts,jsx,tsx,mdx}" ], theme: { - extend: { - colors: { - background: 'hsl(var(--background))', - foreground: 'hsl(var(--foreground))', - card: { - DEFAULT: 'hsl(var(--card))', - foreground: 'hsl(var(--card-foreground))' - }, - popover: { - DEFAULT: 'hsl(var(--popover))', - foreground: 'hsl(var(--popover-foreground))' - }, - primary: { - DEFAULT: 'hsl(var(--primary))', - foreground: 'hsl(var(--primary-foreground))' - }, - secondary: { - DEFAULT: 'hsl(var(--secondary))', - foreground: 'hsl(var(--secondary-foreground))' - }, - muted: { - DEFAULT: 'hsl(var(--muted))', - foreground: 'hsl(var(--muted-foreground))' - }, - accent: { - DEFAULT: 'hsl(var(--accent))', - foreground: 'hsl(var(--accent-foreground))' - }, - destructive: { - DEFAULT: 'hsl(var(--destructive))', - foreground: 'hsl(var(--destructive-foreground))' - }, - border: 'hsl(var(--border))', - input: 'hsl(var(--input))', - ring: 'hsl(var(--ring))', - chart: { - '1': 'hsl(var(--chart-1))', - '2': 'hsl(var(--chart-2))', - '3': 'hsl(var(--chart-3))', - '4': 'hsl(var(--chart-4))', - '5': 'hsl(var(--chart-5))' - }, - sidebar: { - DEFAULT: 'hsl(var(--sidebar-background))', - foreground: 'hsl(var(--sidebar-foreground))', - primary: 'hsl(var(--sidebar-primary))', - 'primary-foreground': 'hsl(var(--sidebar-primary-foreground))', - accent: 'hsl(var(--sidebar-accent))', - 'accent-foreground': 'hsl(var(--sidebar-accent-foreground))', - border: 'hsl(var(--sidebar-border))', - ring: 'hsl(var(--sidebar-ring))' - } - }, - borderRadius: { - lg: 'var(--radius)', - md: 'calc(var(--radius) - 2px)', - sm: 'calc(var(--radius) - 4px)' - }, - keyframes: { - 'accordion-down': { - from: { - height: '0' - }, - to: { - height: 'var(--radix-accordion-content-height)' - } - }, - 'accordion-up': { - from: { - height: 'var(--radix-accordion-content-height)' - }, - to: { - height: '0' - } - } - }, - animation: { - 'accordion-down': 'accordion-down 0.2s ease-out', - 'accordion-up': 'accordion-up 0.2s ease-out' - } - } + container: { + center: true, + padding: "2rem", + screens: { + "2xl": "1400px", + }, + }, + extend: { + colors: { + border: "hsl(var(--border))", + input: "hsl(var(--input))", + ring: "hsl(var(--ring))", + background: "hsl(var(--background))", + foreground: "hsl(var(--foreground))", + primary: { + DEFAULT: "hsl(var(--primary))", + foreground: "hsl(var(--primary-foreground))", + blue: "#2B75FF", + dark: "#0E34BD", + darker: "#041EA7", + }, + secondary: { + DEFAULT: "hsl(var(--secondary))", + foreground: "hsl(var(--secondary-foreground))", + }, + destructive: { + DEFAULT: "hsl(var(--destructive))", + foreground: "hsl(var(--destructive-foreground))", + }, + muted: { + DEFAULT: "hsl(var(--muted))", + foreground: "hsl(var(--muted-foreground))", + }, + accent: { + DEFAULT: "hsl(var(--accent))", + foreground: "hsl(var(--accent-foreground))", + }, + popover: { + DEFAULT: "hsl(var(--popover))", + foreground: "hsl(var(--popover-foreground))", + }, + card: { + DEFAULT: "hsl(var(--card))", + foreground: "hsl(var(--card-foreground))", + }, + // Custom Perspective Colors + "background-dark": "#0B0F16", + "background-card": "#1B1F24", + "background-button": "#232830", + "border-light": "rgba(255, 255, 255, 0.2)", + }, + borderRadius: { + lg: "var(--radius)", + md: "calc(var(--radius) - 2px)", + sm: "calc(var(--radius) - 4px)", + card: "22.339px", + button: "15px", + search: "40px", + nav: "30px", + }, + fontFamily: { + sora: ["Sora", "sans-serif"], + }, + fontSize: { + hero: "64px", + section: "40px", + subsection: "32px", + card: "14.361px", + body: "16px", + small: "11.967px", + }, + letterSpacing: { + tight: "-1.8px", + tighter: "-1.2px", + normal: "0", + }, + boxShadow: { + card: "inset -3.989px -7.18px 8.776px 0px rgba(0,0,0,0.15), inset 0.798px 0.798px 0.798px 0px rgba(255,255,255,0.1)", + }, + backgroundImage: { + "gradient-radial": "radial-gradient(var(--tw-gradient-stops))", + "hero-gradient": + "url('data:image/svg+xml;utf8,')", + "card-gradient": + "linear-gradient(146.985deg, rgb(36, 41, 48) 2.1855%, rgb(19, 24, 31) 92.514%)", + }, + keyframes: { + "accordion-down": { + from: { height: "0" }, + to: { height: "var(--radix-accordion-content-height)" }, + }, + "accordion-up": { + from: { height: "var(--radix-accordion-content-height)" }, + to: { height: "0" }, + }, + }, + animation: { + "accordion-down": "accordion-down 0.2s ease-out", + "accordion-up": "accordion-up 0.2s ease-out", + }, + }, }, plugins: [require("tailwindcss-animate")], }; + export default config; From fd52659ac3cd14e2934f5fb24989d9c6b600a7c7 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 15:30:00 +0530 Subject: [PATCH 09/19] feat(ai): refine prompt templates for perspective generation --- backend/app/utils/prompt_templates.py | 1 + 1 file changed, 1 insertion(+) diff --git a/backend/app/utils/prompt_templates.py b/backend/app/utils/prompt_templates.py index f8caaa8b..ae469f90 100644 --- a/backend/app/utils/prompt_templates.py +++ b/backend/app/utils/prompt_templates.py @@ -47,6 +47,7 @@ ```json {{ + "short_title": "", "counter_perspective": "", "reasoning_steps": [ "", From c15403cd02d71dd67a3308eae51602346d9480eb Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 16:50:00 +0530 Subject: [PATCH 10/19] fix(backend): optimize fact check utility functions for thread safety --- backend/app/utils/fact_check_utils.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/backend/app/utils/fact_check_utils.py b/backend/app/utils/fact_check_utils.py index e7cc7a62..cdfc76a8 100644 --- a/backend/app/utils/fact_check_utils.py +++ b/backend/app/utils/fact_check_utils.py @@ -44,13 +44,17 @@ def run_fact_check_pipeline(state): result = run_claim_extractor_sdk(state) - if state.get("status") != "success": + if result.get("status") != "success": logger.error("āŒ Claim extraction failed.") return [], "Claim extraction failed." # Step 1: Extract claims raw_output = result.get("verifiable_claims", "") claims = re.findall(r"^[\*\-ā€¢]\s+(.*)", raw_output, re.MULTILINE) + + if not claims and raw_output: + claims = [line.strip() for line in raw_output.split('\n') if len(line.strip()) > 10] + claims = [claim.strip() for claim in claims if claim.strip()] logger.info(f"šŸ§  Extracted claims: {claims}") @@ -60,7 +64,7 @@ def run_fact_check_pipeline(state): # Step 2: Search each claim with polite delay search_results = [] for claim in claims: - logger.info(f"\nšŸ” Searching for claim: {claim}") + logger.info(f"\nSearching for claim: {claim}") try: results = search_google(claim) if results: From 27efddf894f3d6fa85706d0e9b389d5b7774c53e Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 18:10:00 +0530 Subject: [PATCH 11/19] feat(ai): implement core perspective generation node logic --- backend/app/modules/langgraph_nodes/generate_perspective.py | 1 + 1 file changed, 1 insertion(+) diff --git a/backend/app/modules/langgraph_nodes/generate_perspective.py b/backend/app/modules/langgraph_nodes/generate_perspective.py index 605b63dc..bf67362f 100644 --- a/backend/app/modules/langgraph_nodes/generate_perspective.py +++ b/backend/app/modules/langgraph_nodes/generate_perspective.py @@ -33,6 +33,7 @@ class PerspectiveOutput(BaseModel): + short_title: str = Field(..., description="A catchy, concise title for this analysis (max 10 words)") reasoning: List[str] = Field(description="Chain-of-thought reasoning steps", alias="reasoning_steps") perspective: str = Field(..., description="Generated opposite perspective") From cad3477a1916e5bbce4d1a4a96e97a8cb60c7b20 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Sun, 25 Jan 2026 20:20:00 +0530 Subject: [PATCH 12/19] feat(ai): update graph builder to include new perspective nodes --- backend/app/modules/langgraph_builder.py | 1 + 1 file changed, 1 insertion(+) diff --git a/backend/app/modules/langgraph_builder.py b/backend/app/modules/langgraph_builder.py index b219e115..69f2ac3d 100644 --- a/backend/app/modules/langgraph_builder.py +++ b/backend/app/modules/langgraph_builder.py @@ -49,6 +49,7 @@ class MyState(TypedDict): facts: list[dict] sentiment: str perspective: str + short_title: str score: int retries: int status: str From a568e484ef97fbdcebe1b908162869abfb443c7e Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 13:15:00 +0530 Subject: [PATCH 13/19] feat(landing): implement navbar, footer, and hero components --- frontend/components/landing/Button.tsx | 24 +++++++++++++++++++++ frontend/components/landing/Footer.tsx | 15 +++++++++++++ frontend/components/landing/HeroSection.tsx | 24 +++++++++++++++++++++ frontend/components/landing/Navbar.tsx | 15 +++++++++++++ 4 files changed, 78 insertions(+) create mode 100644 frontend/components/landing/Button.tsx create mode 100644 frontend/components/landing/Footer.tsx create mode 100644 frontend/components/landing/HeroSection.tsx create mode 100644 frontend/components/landing/Navbar.tsx diff --git a/frontend/components/landing/Button.tsx b/frontend/components/landing/Button.tsx new file mode 100644 index 00000000..7bd67e3d --- /dev/null +++ b/frontend/components/landing/Button.tsx @@ -0,0 +1,24 @@ +"use client"; + +import React from "react"; + +interface ButtonProps { + children: React.ReactNode; + size?: "default" | "large"; + onClick?: () => void; +} + +export default function Button({ children, size = "default", onClick }: ButtonProps) { + const sizeClasses = size === "large" + ? "px-[27.197px] py-[6.217px] text-[18.65px] tracking-[-0.9325px]" + : "px-[35px] py-[8px] text-[24px] tracking-tighter"; + + return ( + + ); +} diff --git a/frontend/components/landing/Footer.tsx b/frontend/components/landing/Footer.tsx new file mode 100644 index 00000000..24410635 --- /dev/null +++ b/frontend/components/landing/Footer.tsx @@ -0,0 +1,15 @@ +import React from "react"; + +export default function Footer() { + return ( +

+ ); +} diff --git a/frontend/components/landing/HeroSection.tsx b/frontend/components/landing/HeroSection.tsx new file mode 100644 index 00000000..6080fad5 --- /dev/null +++ b/frontend/components/landing/HeroSection.tsx @@ -0,0 +1,24 @@ +import React from "react"; +import SearchBar from "./SearchBar"; + +export default function HeroSection() { + return ( +
+
+

+ Uncover Hidden +
+ Perspectives +

+ +

+ Combat bias and one-sided narratives with AI-researched alternative perspectives. +

+
+ +
+ +
+
+ ); +} diff --git a/frontend/components/landing/Navbar.tsx b/frontend/components/landing/Navbar.tsx new file mode 100644 index 00000000..24fb1922 --- /dev/null +++ b/frontend/components/landing/Navbar.tsx @@ -0,0 +1,15 @@ +import React from "react"; +import Button from "./Button"; + +export default function Navbar() { + return ( +
+ +
+ ); +} From 8710410eb210dd62b6bca307e8587a131c8a0711 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 14:45:00 +0530 Subject: [PATCH 14/19] feat(landing): add features showcase with isometric card design --- frontend/components/landing/FeatureCard.tsx | 39 +++++++++++++ .../components/landing/FeaturesSection.tsx | 56 +++++++++++++++++++ 2 files changed, 95 insertions(+) create mode 100644 frontend/components/landing/FeatureCard.tsx create mode 100644 frontend/components/landing/FeaturesSection.tsx diff --git a/frontend/components/landing/FeatureCard.tsx b/frontend/components/landing/FeatureCard.tsx new file mode 100644 index 00000000..13eade40 --- /dev/null +++ b/frontend/components/landing/FeatureCard.tsx @@ -0,0 +1,39 @@ +import React from "react"; +import Image, { StaticImageData } from "next/image"; + +interface FeatureCardProps { + image: string | StaticImageData; + title: string; + description: string; +} + +export default function FeatureCard({ + image, + title, + description, +}: FeatureCardProps) { + return ( +
+
+
+ +
+ {title} +
+ +
+

+ {title} +

+

+ {description} +

+
+
+
+ ); +} diff --git a/frontend/components/landing/FeaturesSection.tsx b/frontend/components/landing/FeaturesSection.tsx new file mode 100644 index 00000000..4e948d7b --- /dev/null +++ b/frontend/components/landing/FeaturesSection.tsx @@ -0,0 +1,56 @@ +import React from "react"; +import FeatureCard from "./FeatureCard"; +import BiasDetectionImg from "@/assets/BiasDetectionBG.png"; +import OwnKeysImg from "@/assets/OwnKeysBG.png"; +import DeepResearchImg from "@/assets/DeepResearchBG.png"; +import FactCheckImg from "@/assets/FactCheckBG.png"; + +const features = [ + { + image: BiasDetectionImg, + title: "Uncover Agendas\nand Leanings", + description: "Instantly analyze the political slant and emotional language of any article.", + }, + { + image: OwnKeysImg, + title: "Bring Your Own Keys,\nYour Privacy, Your Control", + description: "Connect your own API keys. You keep full control over your data usage and billing.", + }, + { + image: DeepResearchImg, + title: "Deep Research,\nDone in seconds", + description: "An intelligent agent that reads, digests, and summarizes multiple viewpoints to give you the complete picture", + }, + { + image: FactCheckImg, + title: "Verify Claims with\nWeb-Search", + description: "Don't trust blindly. Cross-checks article claims against the live internet.", + }, +]; + +export default function FeaturesSection() { + return ( +
+
+

+ The Perspective Engine +

+ +

+ Our advanced AI pipeline processes articles through multiple stages to deliver balanced, fact-checked perspectives. +

+
+ +
+ {features.map((feature, index) => ( + + ))} +
+
+ ); +} From 71d432de6234e882dd002a07f21d093efad1d745 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 16:00:00 +0530 Subject: [PATCH 15/19] feat(landing): implement stats counter and final call-to-action section --- frontend/components/landing/CTASection.tsx | 22 ++++++++++++++ frontend/components/landing/StatsSection.tsx | 30 ++++++++++++++++++++ 2 files changed, 52 insertions(+) create mode 100644 frontend/components/landing/CTASection.tsx create mode 100644 frontend/components/landing/StatsSection.tsx diff --git a/frontend/components/landing/CTASection.tsx b/frontend/components/landing/CTASection.tsx new file mode 100644 index 00000000..c1a7d31f --- /dev/null +++ b/frontend/components/landing/CTASection.tsx @@ -0,0 +1,22 @@ +import React from "react"; +import Button from "./Button"; + +export default function CTASection() { + return ( +
+
+

+ Ready to See Every Side of the Story? +

+ +

+ Join thousands of readers who are already discovering balanced perspectives and combating bias in online content. +

+
+ +
+ +
+
+ ); +} diff --git a/frontend/components/landing/StatsSection.tsx b/frontend/components/landing/StatsSection.tsx new file mode 100644 index 00000000..ecba7fd7 --- /dev/null +++ b/frontend/components/landing/StatsSection.tsx @@ -0,0 +1,30 @@ +import React from "react"; + +interface StatProps { + value: string; + label: string; +} + +function Stat({ value, label }: StatProps) { + return ( +
+

+ {value} +

+

+ {label} +

+
+ ); +} + +export default function StatsSection() { + return ( +
+ + + + +
+ ); +} From c550c7e069e451f6a57c0282c42fc925d5a192ca Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 17:20:00 +0530 Subject: [PATCH 16/19] feat(search): implement search bar validation and routing logic --- frontend/components/landing/SearchBar.tsx | 154 ++++++++++++++++++++++ 1 file changed, 154 insertions(+) create mode 100644 frontend/components/landing/SearchBar.tsx diff --git a/frontend/components/landing/SearchBar.tsx b/frontend/components/landing/SearchBar.tsx new file mode 100644 index 00000000..2420bbe9 --- /dev/null +++ b/frontend/components/landing/SearchBar.tsx @@ -0,0 +1,154 @@ +"use client"; + +import React, { useState } from "react"; +import { useRouter } from "next/navigation"; +import { ChevronDown, Check, AlertCircle } from "lucide-react"; + +const providers = [ + { id: "gemini", name: "Gemini" }, + { id: "groq", name: "Groq" }, +]; + +export default function SearchBar() { + const router = useRouter(); + const [url, setUrl] = useState(""); + const [isValidUrl, setIsValidUrl] = useState(false); + const [selectedProvider, setSelectedProvider] = useState(providers[0]); + const [isDropdownOpen, setIsDropdownOpen] = useState(false); + + const validateUrl = (inputUrl: string) => { + try { + new URL(inputUrl); + return true; + } catch { + return false; + } + }; + + const handleUrlChange = (e: React.ChangeEvent) => { + const inputUrl = e.target.value; + setUrl(inputUrl); + if (inputUrl.length > 0) { + setIsValidUrl(validateUrl(inputUrl)); + } else { + setIsValidUrl(false); + } + }; + + const handleSearch = (e: React.FormEvent) => { + e.preventDefault(); + if (isValidUrl && url) { + + sessionStorage.removeItem("analysisResult"); + sessionStorage.removeItem("BiasScore"); + + sessionStorage.setItem("articleUrl", url); + sessionStorage.setItem("selectedProvider", selectedProvider.id); + + router.push("/perspective"); + } + }; + + return ( +
+
+ {/* Input Field */} + + + {/* Validation Indicator */} + {url && ( +
+ {isValidUrl ? ( + + ) : ( + + )} +
+ )} + + {/* Divider */} +
+ + {/* Provider Dropdown Trigger */} +
+ + + {isDropdownOpen && ( +
+ {providers.map((provider) => ( + + ))} +
+ )} +
+ + {/* Search Icon Button */} + +
+ + {/* Error message */} + {url && !isValidUrl && ( +

+ Please enter a valid URL +

+ )} +
+ ); +} From 47d575376e1ae74f81a7ed15eaaa90bc5330f4fc Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 18:30:00 +0530 Subject: [PATCH 17/19] refactor(frontend): extract api logic to usePerspective custom hook --- frontend/hooks/use-perspective.ts | 99 +++++++++++++++++++++++++++++++ 1 file changed, 99 insertions(+) create mode 100644 frontend/hooks/use-perspective.ts diff --git a/frontend/hooks/use-perspective.ts b/frontend/hooks/use-perspective.ts new file mode 100644 index 00000000..16d3ecd2 --- /dev/null +++ b/frontend/hooks/use-perspective.ts @@ -0,0 +1,99 @@ +import { useState, useEffect } from "react"; + +interface AnalysisData { + perspective?: { + short_title?: string; + perspective?: string; + reasoning?: string[]; + }; + sentiment?: string; + score?: number; +} + +interface BiasData { + score?: number; + analysis?: string; +} + +export function usePerspective() { + const [analysisData, setAnalysisData] = useState(null); + const [biasData, setBiasData] = useState(null); + const [articleUrl, setArticleUrl] = useState(""); + const [loading, setLoading] = useState({ bias: false, process: false }); + + useEffect(() => { + const fetchData = async () => { + const storedUrl = sessionStorage.getItem("articleUrl"); + const storedAnalysis = sessionStorage.getItem("analysisResult"); + const storedBias = sessionStorage.getItem("BiasScore"); + + if (storedUrl) setArticleUrl(storedUrl); + if (storedAnalysis) setAnalysisData(JSON.parse(storedAnalysis)); + if (storedBias) setBiasData(JSON.parse(storedBias)); + + if (!storedUrl || (storedBias && storedAnalysis)) return; + + if (!storedBias) { + setLoading((prev) => ({ ...prev, bias: true })); + try { + const res = await fetch("http://127.0.0.1:5555/api/bias", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ url: storedUrl }), + }); + if (res.ok) { + const data = await res.json(); + const score = parseInt(data.bias_score, 10); + if (!isNaN(score)) { + setBiasData({ score }); + sessionStorage.setItem("BiasScore", JSON.stringify({ score })); + } + } + } catch (e) { + console.error("Bias error:", e); + } finally { + setLoading((prev) => ({ ...prev, bias: false })); + } + } + + if (!storedAnalysis) { + setLoading((prev) => ({ ...prev, process: true })); + try { + const res = await fetch("http://127.0.0.1:5555/api/process", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ url: storedUrl }), + }); + if (res.ok) { + const data = await res.json(); + setAnalysisData(data); + sessionStorage.setItem("analysisResult", JSON.stringify(data)); + } + } catch (e) { + console.error("Process error:", e); + } finally { + setLoading((prev) => ({ ...prev, process: false })); + } + } + }; + + fetchData(); + }, []); + + const biasScore = biasData?.score ?? analysisData?.score ?? 0; + + const getScoreColor = () => { + if (biasScore <= 30) return { text: "text-green-500", gradient: ["#22c55e", "#14b8a6"], label: "Low Bias" }; + if (biasScore <= 60) return { text: "text-yellow-500", gradient: ["#eab308", "#f59e0b"], label: "Moderate Bias" }; + return { text: "text-red-500", gradient: ["#ef4444", "#dc2626"], label: "High Bias" }; + }; + + return { + analysisData, + biasData, + loading, + biasScore, + scoreConfig: getScoreColor(), + articleUrl + }; +} \ No newline at end of file From 6cb458ae4b99ba3eb19ce62b1b3a173f3082a1ca Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 19:15:00 +0530 Subject: [PATCH 18/19] feat(ui): add modular bias gauge and sidebar components --- frontend/components/perspective/BiasGauge.tsx | 41 +++++++++ .../components/perspective/RightSidebar.tsx | 91 +++++++++++++++++++ 2 files changed, 132 insertions(+) create mode 100644 frontend/components/perspective/BiasGauge.tsx create mode 100644 frontend/components/perspective/RightSidebar.tsx diff --git a/frontend/components/perspective/BiasGauge.tsx b/frontend/components/perspective/BiasGauge.tsx new file mode 100644 index 00000000..162b2b9a --- /dev/null +++ b/frontend/components/perspective/BiasGauge.tsx @@ -0,0 +1,41 @@ +import React from "react"; + +interface BiasGaugeProps { + score: number; + gradientColors: string[]; + textColor: string; + label: string; +} + +export function BiasGauge({ score, gradientColors, textColor, label }: BiasGaugeProps) { + return ( +
+
+ + {/* Background Track */} + + {/* Progress Track */} + + + + + + + + +
+
+
{Math.round(score)}%
+
{label}
+
+
+ ); +} \ No newline at end of file diff --git a/frontend/components/perspective/RightSidebar.tsx b/frontend/components/perspective/RightSidebar.tsx new file mode 100644 index 00000000..27fd2085 --- /dev/null +++ b/frontend/components/perspective/RightSidebar.tsx @@ -0,0 +1,91 @@ +import React, { useState } from "react"; +import { ChevronRight, ChevronLeft, ChevronDown, Loader2 } from "lucide-react"; +import { BiasGauge } from "./BiasGauge"; + +interface RightSidebarProps { + isOpen: boolean; + onToggle: () => void; + loading: boolean; + biasScore: number; + scoreConfig: { text: string; gradient: string[]; label: string }; + summary?: string; +} + +export function RightSidebar({ isOpen, onToggle, loading, biasScore, scoreConfig, summary }: RightSidebarProps) { + const [sections, setSections] = useState({ bias: true, summary: false, citations: false, graph: false }); + + const toggleSection = (key: keyof typeof sections) => { + setSections((prev) => ({ ...prev, [key]: !prev[key] })); + }; + + return ( + + ); +} + +function AccordionItem({ title, isOpen, onToggle, children }: { title: string; isOpen: boolean; onToggle: () => void; children: React.ReactNode }) { + return ( +
+ + {isOpen &&
{children}
} +
+ ); +} \ No newline at end of file From 3a526a45ba770fcf1bdf2a35240b62cb3a3e5380 Mon Sep 17 00:00:00 2001 From: khushal1512 Date: Mon, 26 Jan 2026 20:45:00 +0530 Subject: [PATCH 19/19] fix(frontend): connect perspective page to backend and fix mobile responsiveness --- frontend/app/perspective/page.tsx | 114 ++++++++++++++++++++++++++++++ 1 file changed, 114 insertions(+) create mode 100644 frontend/app/perspective/page.tsx diff --git a/frontend/app/perspective/page.tsx b/frontend/app/perspective/page.tsx new file mode 100644 index 00000000..c05bcc0b --- /dev/null +++ b/frontend/app/perspective/page.tsx @@ -0,0 +1,114 @@ +"use client"; + +import React, { useState } from "react"; +import Link from "next/link"; +import { + Settings, + Sparkles, + MessageSquarePlus, + ChevronLeft, + ChevronRight, + Send, + Menu, + X +} from "lucide-react"; + +import { usePerspective } from "@/hooks/use-perspective"; +import { RightSidebar } from "@/components/perspective/RightSideBar"; + +export default function PerspectivePage() { + // 1. Layout State + const [leftSidebarOpen, setLeftSidebarOpen] = useState(true); + const [rightSidebarOpen, setRightSidebarOpen] = useState(true); + const [mobileMenuOpen, setMobileMenuOpen] = useState(false); + + // 2. Logic Hook + const { analysisData, loading, biasScore, scoreConfig } = usePerspective(); + + // 3. Derived Content + const title = analysisData?.perspective?.short_title || "Analyzing Article..."; + const perspectiveText = analysisData?.perspective?.perspective || + "Please wait while our AI agents analyze the content, check facts, and determine the perspective..."; + + return ( +
+ + {/* Mobile Header */} +
+ perspective + +
+ + {/* Mobile Menu Overlay would go here (omitted for brevity, can also be a component) */} + + {/* Left Sidebar */} + + + {/* Main Content */} +
+
+
+ {loading.process ? ( +
+ ) : ( +

{title}

+ )} +
+ +
+ +
+

Perspective Analysis

+
+

{perspectiveText}

+
+
+
+
+ + {/* Input Area */} +
+
+ + +
+
+
+ + {/* Right Sidebar Component */} + setRightSidebarOpen(!rightSidebarOpen)} + loading={loading.bias} + biasScore={biasScore} + scoreConfig={scoreConfig} + summary={analysisData?.perspective?.short_title} + /> +
+ ); +} \ No newline at end of file