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"""React research workspace API. Run: uvicorn web_api.app:app --port 7860."""
from datetime import date
import asyncio
from contextlib import asynccontextmanager, suppress
from functools import lru_cache
import io
import json
import logging
import os
from pathlib import Path
import sqlite3
import threading
import time
from uuid import uuid4

from fastapi import FastAPI, HTTPException, UploadFile, File, Form, Request, Header
from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse, Response
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel, Field

from policy_registry import registered_policies
import currency
from official_links import official_links, official_url
import policy_pdfs
from policy_history import PolicyHistory
from policy_router import route_retrieval

ROOT = Path(__file__).resolve().parents[1]
from dotenv import load_dotenv
load_dotenv(ROOT / '.env')
LOG = logging.getLogger(__name__)
@asynccontextmanager
async def lifespan(app):
    from .workspace import FILES, LOCK, TTL
    async def cleanup():
        while True:
            await asyncio.sleep(60)
            with LOCK:
                expired = [key for key, value in FILES.items() if time.monotonic()-value['created'] > TTL]
                for key in expired:
                    del FILES[key]
    task = asyncio.create_task(cleanup())
    try:
        yield
    finally:
        task.cancel()
        with suppress(asyncio.CancelledError):
            await task


app = FastAPI(title='EPFO Research Workspace', version='1.0.0', lifespan=lifespan)
_lock = threading.RLock()
_packets = {}
_pdf_lock = threading.Lock()


class SearchRequest(BaseModel):
    question: str = Field(min_length=3, max_length=6000)
    policy: str = 'auto'
    topic: str | None = Field(default=None, max_length=80)
    as_of: date = Field(default_factory=date.today)


class AnswerRequest(BaseModel):
    language: str = 'English'


def check_day(day):
    if not date(1952, 1, 1) <= day <= date.today():
        raise HTTPException(422, 'Choose an evidence date between 1952 and today.')


def policy_by_id(id):
    policy = next((p for p in registered_policies() if p.id == id), None)
    if policy is None:
        raise HTTPException(404, 'Policy not found.')
    return policy


@lru_cache(maxsize=1)
def resources():
    import config
    from sentence_transformers import SentenceTransformer, CrossEncoder
    from vector_indexer import load_faiss_binary_index
    from passage_store import open_passage_store
    with _lock:
        directory = str(ROOT / config.DEFAULT_INDEX_DIR / 'data_index')
        model = SentenceTransformer(config.EMBEDDING_MODEL_NAME, device=config.EMBEDDING_DEVICE)
        index = load_faiss_binary_index(directory, model)
        store = open_passage_store(directory)
        if index is None or store is None or index.ntotal != len(store):
            raise RuntimeError('Search index unavailable')
        reranker = None
        if config.CROSS_ENCODER_MODEL_NAME:
            try:
                reranker = CrossEncoder(config.CROSS_ENCODER_MODEL_NAME, device=config.EMBEDDING_DEVICE)
            except Exception:
                LOG.warning('Reranker unavailable; using hybrid retrieval')
        return model, index, store, reranker, directory


def hybrid_search(question, extra=0):
    import config
    from retriever import retrieve_relevant_chunks
    # Serialize CPU-heavy retrieval on a small Space; no shared question state.
    with _lock:
        model, index, store, reranker, directory = resources()
        # ``extra`` ranks a few more candidates (same retrieval pass) so newer circulars can be flagged.
        return retrieve_relevant_chunks(question, index, store.texts, store.metadata, model,
                                        cross_encoder_model=reranker,
                                        top_n_final=getattr(config, 'TOP_N_RETRIEVAL', 5) + extra if extra else None,
                                        bm25_cache_path=str(Path(directory) / 'faiss_index.bm25.json.gz'))


@lru_cache(maxsize=16)
def history_for(id):
    return PolicyHistory(policy_by_id(id).path)


def pdf_path(policy, document):
    """A verified local copy of the original, if one is already on disk (no network)."""
    relative = document.get('local_pdf')
    if relative:
        path = (policy.path.parent / relative).resolve()
        if path.is_relative_to(ROOT / 'policy_data') and path.is_file():
            # Never serve an unresolved Git LFS pointer as an archived PDF.
            with path.open('rb') as source:
                if source.read(5) == b'%PDF-':
                    return path
    sha256 = policy_pdfs.expected_sha256(policy.path.parent, document)
    return policy_pdfs.cached_path(document.get('id'), sha256) if sha256 else None


def pdf_available(policy, document):
    """Originals are no longer stored in Git; they are fetched from the public source URL."""
    return bool(pdf_path(policy, document) or policy_pdfs.has_public_original(policy.path.parent, document))


def corpus_date():
    path = ROOT / 'vector_store/data_index/faiss_index.passages.db'
    return currency.corpus_as_of(str(path)) if path.exists() else None


@app.get('/api/catalog')
def catalog():
    path = ROOT / 'vector_store/data_index/faiss_index.passages.db'
    count = None
    if path.exists():
        with sqlite3.connect(f'file:{path}?mode=ro', uri=True) as db:
            # Published indexes use contiguous zero-based passage IDs. This avoids
            # scanning the entire SQLite corpus just to paint the home screen.
            count = db.execute('select coalesce(max(id), -1) + 1 from passages').fetchone()[0]
    policies = []
    for policy in registered_policies():
        history = history_for(policy.id)
        checked = [d for d in history.documents.values() if d.get('source_file')]
        issued = [d['issued_on'] for d in history.documents.values()]
        policies.append(dict(id=policy.id, label=policy.label, scope=policy.scope,
                             first_issued=min(issued, default=None), last_issued=max(issued, default=None),
                             document_count=len(history.documents), checked_count=len(checked),
                             topics=history.policy.get('topics', []),
                             newest_checked=max((d['issued_on'] for d in checked), default=None)))
    latest = corpus_date()
    return dict(policies=policies, passage_count=count, corpus_as_of=latest.isoformat() if latest else None, answer_enabled=bool(os.environ.get('HF_TOKEN')), today=date.today().isoformat())


@lru_cache(maxsize=1)
def _division_catalog(mtime):
    return json.loads((ROOT / 'policy_data/division_catalog.json').read_text(encoding='utf-8'))


@app.get('/api/divisions')
def divisions():
    """Policy topics by issuing division, with status where a circular states it (built by scripts/build_division_catalog.py)."""
    path = ROOT / 'policy_data/division_catalog.json'
    if not path.is_file():
        raise HTTPException(404, 'The division catalog is not available.')
    catalog = dict(_division_catalog(path.stat().st_mtime_ns))
    known = {p.id: p.label for p in registered_policies()}
    # Only link collections that are registered here, so a stale catalog cannot point at a missing one.
    catalog['collections'] = known
    return catalog


@app.get('/api/policies/{id}')
def policy_snapshot(id: str, as_of: date | None = None, topic: str | None = None):
    day = as_of or date.today()
    check_day(day)
    policy = policy_by_id(id)
    try:
        report = history_for(id).snapshot(day.isoformat(), topics=[topic] if topic else None)
    except ValueError as error:
        raise HTTPException(422, str(error)) from None
    for doc in report['documents']:
        doc['pdf_url'] = f'/api/policies/{id}/documents/{doc["id"]}/pdf' if pdf_available(policy, doc) else None
        doc.update(official_links({k: doc[k] for k in ('source_url', 'original_source_url') if k in doc}))
    return dict(label=policy.label, scope=policy.scope, **report)


@app.get('/api/policies/{id}/documents/{document_id}/pdf')
def source_pdf(id: str, document_id: str):
    policy = policy_by_id(id)
    document = history_for(id).documents.get(document_id) or {}
    path = pdf_path(policy, document)
    if path is None and policy_pdfs.has_public_original(policy.path.parent, document):
        try:
            # Serialised so two viewers of the same file do not download it twice.
            with _pdf_lock:
                path = policy_pdfs.ensure_original(policy.path.parent, document)
        except Exception as error:
            LOG.warning('Public original unavailable for %s: %s', document_id, error)
            # The reader's own browser can usually reach the official site even when this server cannot.
            return RedirectResponse(official_url(document['source_url']), status_code=302)
    if path is None:
        raise HTTPException(404, 'No original is available for this document.')
    return FileResponse(path, media_type='application/pdf', headers={'Content-Disposition': 'inline'})


@app.post('/api/search')
def search(request: SearchRequest, http_request: Request):
    from .workspace import owner
    session = owner(http_request.headers.get("x-workspace-session"))
    check_day(request.as_of)
    if not request.question.strip():
        raise HTTPException(422, 'Enter a question.')
    import config
    pool = []

    def run_hybrid():
        ranked = hybrid_search(request.question.strip(), extra=currency.EXTRA_CANDIDATES)
        top = getattr(config, 'TOP_N_RETRIEVAL', 5)
        pool[:] = ranked[top:]
        return ranked[:top]
    try:
        result = route_retrieval(request.question.strip(), request.as_of.isoformat(),
                                 run_hybrid, mode=request.policy, topic=request.topic)
    except ValueError as error:
        raise HTTPException(422, str(error)) from None
    except Exception:
        LOG.exception('Search failed')
        raise HTTPException(503, 'Search is unavailable. Please retry shortly.') from None
    # The old epfindia.gov.in site now lives at epfo.gov.in: show readers (and the model) current links.
    for chunk in result['chunks']:
        chunk['metadata'] = official_links(chunk.get('metadata', {}))
    for document in (result['policy_context'] or {}).get('documents', []):
        document.update(official_links({k: document[k] for k in ('source_url', 'original_source_url') if k in document}))
    sources = []
    for number, chunk in enumerate(result['chunks'], 1):
        meta = dict(chunk.get('metadata', {}))
        doc_id = chunk.get('document_id') or meta.get('policy_document_id')
        local = None
        if result['policy_context'] and doc_id:
            pid = result['policy_context']['policy_id']
            policy = policy_by_id(pid)
            doc = history_for(pid).documents.get(doc_id)
            if pdf_available(policy, doc or {}):
                local = f'/api/policies/{pid}/documents/{doc_id}/pdf'
        sources.append(dict(id=number, text=chunk['text'], metadata=meta, document_id=doc_id, pdf_url=local))
    # Curated histories carry their own supersession review; the general collection does not.
    freshness = None
    if result['route'] == 'hybrid':
        freshness = currency.build_currency(result['chunks'], pool, request.question, corpus_as_of=corpus_date())
    packet_id = uuid4().hex
    with _lock:
        now = time.monotonic()
        expired = [key for key, item in _packets.items() if now - item['created'] > 900]
        for key in expired:
            del _packets[key]
        if len(_packets) >= 50:
            del _packets[next(iter(_packets))]
        _packets[packet_id] = dict(created=now, owner=session, question=request.question, chunks=result['chunks'], context=result['policy_context'], currency=freshness)
    return dict(packet_id=packet_id, question=request.question, route=result['route'], sources=sources,
                policy_context=result['policy_context'], currency=freshness, as_of=request.as_of.isoformat())


@lru_cache(maxsize=1)
def limiter():
    import config
    from rate_limiter import SlidingWindowRateLimiter
    return SlidingWindowRateLimiter(config.LLM_RATE_LIMIT_MAX_REQUESTS, config.LLM_RATE_LIMIT_WINDOW_SECONDS)


@app.post('/api/answers/{packet_id}')
def answer(packet_id: str, request: AnswerRequest, http_request: Request, x_hf_token: str | None = Header(default=None)):
    from .workspace import owner
    session = owner(http_request.headers.get("x-workspace-session"))
    import config
    if request.language not in ('English', 'Hindi'):
        raise HTTPException(422, 'Choose English or Hindi.')
    with _lock:
        packet = _packets.get(packet_id)
    if packet is None or packet.get('owner') != session or time.monotonic() - packet['created'] > 900:
        raise HTTPException(410, 'Evidence expired. Search again before generating an answer.')
    if not packet['chunks']:
        raise HTTPException(422, 'No source evidence was found.')
    if not (x_hf_token or config.HF_TOKEN):
        raise HTTPException(503, 'AI generation is not configured. The source evidence remains available.')
    allowed, retry = (True, 0) if x_hf_token else limiter().try_acquire()
    if not allowed:
        raise HTTPException(429, 'Generation limit reached. Please retry shortly.', headers={'Retry-After': str(int(retry) + 1)})
    from answer_generator import get_llm_answer, initialize_llm, describe_llm_error
    def events():
        try:
            model = initialize_llm(hf_token=x_hf_token) if x_hf_token else initialize_llm()
            stream = get_llm_answer(packet['question'], packet['chunks'], model, stream=True,
                                    answer_language=request.language, policy_context=packet['context'],
                                    currency=packet.get('currency'))
            if isinstance(stream, str):
                stream = [stream]
            for chunk in stream:
                text = chunk.content if hasattr(chunk, 'content') else str(chunk)
                yield json.dumps({'text': text}, ensure_ascii=False) + '\n'
            yield json.dumps({'done': True}) + '\n'
        except Exception as error:
            yield json.dumps({'error': describe_llm_error(error)}) + '\n'
    return StreamingResponse(events(), media_type='application/x-ndjson', headers={'Cache-Control': 'no-store', 'X-Accel-Buffering': 'no'})


@app.get('/api/health')
def health():
    return {'status': 'ok'}


from .workspace import router as workspace_router
app.include_router(workspace_router)


class BodyLimit:
    def __init__(self, app):
        self.app = app

    async def __call__(self, scope, receive, send):
        if scope['type'] != 'http':
            return await self.app(scope, receive, send)
        maximum = 100 * 1024 * 1024
        headers = dict(scope.get('headers', []))
        try:
            length = int(headers.get(b'content-length', b'0'))
        except ValueError:
            length = 0
        if length > maximum:
            from fastapi.responses import JSONResponse
            return await JSONResponse({'detail':'A request may contain at most 100 MB of files.'}, status_code=413)(scope, receive, send)
        total = 0
        async def limited_receive():
            nonlocal total
            message = await receive()
            total += len(message.get('body', b''))
            if total > maximum:
                raise HTTPException(413, 'A request may contain at most 100 MB of files.')
            return message
        await self.app(scope, limited_receive, send)


app.add_middleware(BodyLimit)

DIST = ROOT / 'frontend/dist'
if DIST.exists():
    app.mount('/', StaticFiles(directory=DIST, html=True), name='frontend')

	"""React research workspace API. Run: uvicorn web_api.app:app --port 7860."""
	from datetime import date
	import asyncio
	from contextlib import asynccontextmanager, suppress
	from functools import lru_cache
	import io
	import json
	import logging
	import os
	from pathlib import Path
	import sqlite3
	import threading
	import time
	from uuid import uuid4

	from fastapi import FastAPI, HTTPException, UploadFile, File, Form, Request, Header
	from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse, Response
	from fastapi.staticfiles import StaticFiles
	from pydantic import BaseModel, Field

	from policy_registry import registered_policies
	import currency
	from official_links import official_links, official_url
	import policy_pdfs
	from policy_history import PolicyHistory
	from policy_router import route_retrieval

	ROOT = Path(__file__).resolve().parents[1]
	from dotenv import load_dotenv
	load_dotenv(ROOT / '.env')
	LOG = logging.getLogger(__name__)
	@asynccontextmanager
	async def lifespan(app):
	from .workspace import FILES, LOCK, TTL
	async def cleanup():
	while True:
	await asyncio.sleep(60)
	with LOCK:
	expired = [key for key, value in FILES.items() if time.monotonic()-value['created'] > TTL]
	for key in expired:
	del FILES[key]
	task = asyncio.create_task(cleanup())
	try:
	yield
	finally:
	task.cancel()
	with suppress(asyncio.CancelledError):
	await task


	app = FastAPI(title='EPFO Research Workspace', version='1.0.0', lifespan=lifespan)
	_lock = threading.RLock()
	_packets = {}
	_pdf_lock = threading.Lock()


	class SearchRequest(BaseModel):
	question: str = Field(min_length=3, max_length=6000)
	policy: str = 'auto'
	topic: str \| None = Field(default=None, max_length=80)
	as_of: date = Field(default_factory=date.today)


	class AnswerRequest(BaseModel):
	language: str = 'English'


	def check_day(day):
	if not date(1952, 1, 1) <= day <= date.today():
	raise HTTPException(422, 'Choose an evidence date between 1952 and today.')


	def policy_by_id(id):
	policy = next((p for p in registered_policies() if p.id == id), None)
	if policy is None:
	raise HTTPException(404, 'Policy not found.')
	return policy


	@lru_cache(maxsize=1)
	def resources():
	import config
	from sentence_transformers import SentenceTransformer, CrossEncoder
	from vector_indexer import load_faiss_binary_index
	from passage_store import open_passage_store
	with _lock:
	directory = str(ROOT / config.DEFAULT_INDEX_DIR / 'data_index')
	model = SentenceTransformer(config.EMBEDDING_MODEL_NAME, device=config.EMBEDDING_DEVICE)
	index = load_faiss_binary_index(directory, model)
	store = open_passage_store(directory)
	if index is None or store is None or index.ntotal != len(store):
	raise RuntimeError('Search index unavailable')
	reranker = None
	if config.CROSS_ENCODER_MODEL_NAME:
	try:
	reranker = CrossEncoder(config.CROSS_ENCODER_MODEL_NAME, device=config.EMBEDDING_DEVICE)
	except Exception:
	LOG.warning('Reranker unavailable; using hybrid retrieval')
	return model, index, store, reranker, directory


	def hybrid_search(question, extra=0):
	import config
	from retriever import retrieve_relevant_chunks
	# Serialize CPU-heavy retrieval on a small Space; no shared question state.
	with _lock:
	model, index, store, reranker, directory = resources()
	# ``extra`` ranks a few more candidates (same retrieval pass) so newer circulars can be flagged.
	return retrieve_relevant_chunks(question, index, store.texts, store.metadata, model,
	cross_encoder_model=reranker,
	top_n_final=getattr(config, 'TOP_N_RETRIEVAL', 5) + extra if extra else None,
	bm25_cache_path=str(Path(directory) / 'faiss_index.bm25.json.gz'))


	@lru_cache(maxsize=16)
	def history_for(id):
	return PolicyHistory(policy_by_id(id).path)


	def pdf_path(policy, document):
	"""A verified local copy of the original, if one is already on disk (no network)."""
	relative = document.get('local_pdf')
	if relative:
	path = (policy.path.parent / relative).resolve()
	if path.is_relative_to(ROOT / 'policy_data') and path.is_file():
	# Never serve an unresolved Git LFS pointer as an archived PDF.
	with path.open('rb') as source:
	if source.read(5) == b'%PDF-':
	return path
	sha256 = policy_pdfs.expected_sha256(policy.path.parent, document)
	return policy_pdfs.cached_path(document.get('id'), sha256) if sha256 else None


	def pdf_available(policy, document):
	"""Originals are no longer stored in Git; they are fetched from the public source URL."""
	return bool(pdf_path(policy, document) or policy_pdfs.has_public_original(policy.path.parent, document))


	def corpus_date():
	path = ROOT / 'vector_store/data_index/faiss_index.passages.db'
	return currency.corpus_as_of(str(path)) if path.exists() else None


	@app.get('/api/catalog')
	def catalog():
	path = ROOT / 'vector_store/data_index/faiss_index.passages.db'
	count = None
	if path.exists():
	with sqlite3.connect(f'file:{path}?mode=ro', uri=True) as db:
	# Published indexes use contiguous zero-based passage IDs. This avoids
	# scanning the entire SQLite corpus just to paint the home screen.
	count = db.execute('select coalesce(max(id), -1) + 1 from passages').fetchone()[0]
	policies = []
	for policy in registered_policies():
	history = history_for(policy.id)
	checked = [d for d in history.documents.values() if d.get('source_file')]
	issued = [d['issued_on'] for d in history.documents.values()]
	policies.append(dict(id=policy.id, label=policy.label, scope=policy.scope,
	first_issued=min(issued, default=None), last_issued=max(issued, default=None),
	document_count=len(history.documents), checked_count=len(checked),
	topics=history.policy.get('topics', []),
	newest_checked=max((d['issued_on'] for d in checked), default=None)))
	latest = corpus_date()
	return dict(policies=policies, passage_count=count, corpus_as_of=latest.isoformat() if latest else None, answer_enabled=bool(os.environ.get('HF_TOKEN')), today=date.today().isoformat())


	@lru_cache(maxsize=1)
	def _division_catalog(mtime):
	return json.loads((ROOT / 'policy_data/division_catalog.json').read_text(encoding='utf-8'))


	@app.get('/api/divisions')
	def divisions():
	"""Policy topics by issuing division, with status where a circular states it (built by scripts/build_division_catalog.py)."""
	path = ROOT / 'policy_data/division_catalog.json'
	if not path.is_file():
	raise HTTPException(404, 'The division catalog is not available.')
	catalog = dict(_division_catalog(path.stat().st_mtime_ns))
	known = {p.id: p.label for p in registered_policies()}
	# Only link collections that are registered here, so a stale catalog cannot point at a missing one.
	catalog['collections'] = known
	return catalog


	@app.get('/api/policies/{id}')
	def policy_snapshot(id: str, as_of: date \| None = None, topic: str \| None = None):
	day = as_of or date.today()
	check_day(day)
	policy = policy_by_id(id)
	try:
	report = history_for(id).snapshot(day.isoformat(), topics=[topic] if topic else None)
	except ValueError as error:
	raise HTTPException(422, str(error)) from None
	for doc in report['documents']:
	doc['pdf_url'] = f'/api/policies/{id}/documents/{doc["id"]}/pdf' if pdf_available(policy, doc) else None
	doc.update(official_links({k: doc[k] for k in ('source_url', 'original_source_url') if k in doc}))
	return dict(label=policy.label, scope=policy.scope, **report)


	@app.get('/api/policies/{id}/documents/{document_id}/pdf')
	def source_pdf(id: str, document_id: str):
	policy = policy_by_id(id)
	document = history_for(id).documents.get(document_id) or {}
	path = pdf_path(policy, document)
	if path is None and policy_pdfs.has_public_original(policy.path.parent, document):
	try:
	# Serialised so two viewers of the same file do not download it twice.
	with _pdf_lock:
	path = policy_pdfs.ensure_original(policy.path.parent, document)
	except Exception as error:
	LOG.warning('Public original unavailable for %s: %s', document_id, error)
	# The reader's own browser can usually reach the official site even when this server cannot.
	return RedirectResponse(official_url(document['source_url']), status_code=302)
	if path is None:
	raise HTTPException(404, 'No original is available for this document.')
	return FileResponse(path, media_type='application/pdf', headers={'Content-Disposition': 'inline'})


	@app.post('/api/search')
	def search(request: SearchRequest, http_request: Request):
	from .workspace import owner
	session = owner(http_request.headers.get("x-workspace-session"))
	check_day(request.as_of)
	if not request.question.strip():
	raise HTTPException(422, 'Enter a question.')
	import config
	pool = []

	def run_hybrid():
	ranked = hybrid_search(request.question.strip(), extra=currency.EXTRA_CANDIDATES)
	top = getattr(config, 'TOP_N_RETRIEVAL', 5)
	pool[:] = ranked[top:]
	return ranked[:top]
	try:
	result = route_retrieval(request.question.strip(), request.as_of.isoformat(),
	run_hybrid, mode=request.policy, topic=request.topic)
	except ValueError as error:
	raise HTTPException(422, str(error)) from None
	except Exception:
	LOG.exception('Search failed')
	raise HTTPException(503, 'Search is unavailable. Please retry shortly.') from None
	# The old epfindia.gov.in site now lives at epfo.gov.in: show readers (and the model) current links.
	for chunk in result['chunks']:
	chunk['metadata'] = official_links(chunk.get('metadata', {}))
	for document in (result['policy_context'] or {}).get('documents', []):
	document.update(official_links({k: document[k] for k in ('source_url', 'original_source_url') if k in document}))
	sources = []
	for number, chunk in enumerate(result['chunks'], 1):
	meta = dict(chunk.get('metadata', {}))
	doc_id = chunk.get('document_id') or meta.get('policy_document_id')
	local = None
	if result['policy_context'] and doc_id:
	pid = result['policy_context']['policy_id']
	policy = policy_by_id(pid)
	doc = history_for(pid).documents.get(doc_id)
	if pdf_available(policy, doc or {}):
	local = f'/api/policies/{pid}/documents/{doc_id}/pdf'
	sources.append(dict(id=number, text=chunk['text'], metadata=meta, document_id=doc_id, pdf_url=local))
	# Curated histories carry their own supersession review; the general collection does not.
	freshness = None
	if result['route'] == 'hybrid':
	freshness = currency.build_currency(result['chunks'], pool, request.question, corpus_as_of=corpus_date())
	packet_id = uuid4().hex
	with _lock:
	now = time.monotonic()
	expired = [key for key, item in _packets.items() if now - item['created'] > 900]
	for key in expired:
	del _packets[key]
	if len(_packets) >= 50:
	del _packets[next(iter(_packets))]
	_packets[packet_id] = dict(created=now, owner=session, question=request.question, chunks=result['chunks'], context=result['policy_context'], currency=freshness)
	return dict(packet_id=packet_id, question=request.question, route=result['route'], sources=sources,
	policy_context=result['policy_context'], currency=freshness, as_of=request.as_of.isoformat())


	@lru_cache(maxsize=1)
	def limiter():
	import config
	from rate_limiter import SlidingWindowRateLimiter
	return SlidingWindowRateLimiter(config.LLM_RATE_LIMIT_MAX_REQUESTS, config.LLM_RATE_LIMIT_WINDOW_SECONDS)


	@app.post('/api/answers/{packet_id}')
	def answer(packet_id: str, request: AnswerRequest, http_request: Request, x_hf_token: str \| None = Header(default=None)):
	from .workspace import owner
	session = owner(http_request.headers.get("x-workspace-session"))
	import config
	if request.language not in ('English', 'Hindi'):
	raise HTTPException(422, 'Choose English or Hindi.')
	with _lock:
	packet = _packets.get(packet_id)
	if packet is None or packet.get('owner') != session or time.monotonic() - packet['created'] > 900:
	raise HTTPException(410, 'Evidence expired. Search again before generating an answer.')
	if not packet['chunks']:
	raise HTTPException(422, 'No source evidence was found.')
	if not (x_hf_token or config.HF_TOKEN):
	raise HTTPException(503, 'AI generation is not configured. The source evidence remains available.')
	allowed, retry = (True, 0) if x_hf_token else limiter().try_acquire()
	if not allowed:
	raise HTTPException(429, 'Generation limit reached. Please retry shortly.', headers={'Retry-After': str(int(retry) + 1)})
	from answer_generator import get_llm_answer, initialize_llm, describe_llm_error
	def events():
	try:
	model = initialize_llm(hf_token=x_hf_token) if x_hf_token else initialize_llm()
	stream = get_llm_answer(packet['question'], packet['chunks'], model, stream=True,
	answer_language=request.language, policy_context=packet['context'],
	currency=packet.get('currency'))
	if isinstance(stream, str):
	stream = [stream]
	for chunk in stream:
	text = chunk.content if hasattr(chunk, 'content') else str(chunk)
	yield json.dumps({'text': text}, ensure_ascii=False) + '\n'
	yield json.dumps({'done': True}) + '\n'
	except Exception as error:
	yield json.dumps({'error': describe_llm_error(error)}) + '\n'
	return StreamingResponse(events(), media_type='application/x-ndjson', headers={'Cache-Control': 'no-store', 'X-Accel-Buffering': 'no'})


	@app.get('/api/health')
	def health():
	return {'status': 'ok'}


	from .workspace import router as workspace_router
	app.include_router(workspace_router)


	class BodyLimit:
	def __init__(self, app):
	self.app = app

	async def __call__(self, scope, receive, send):
	if scope['type'] != 'http':
	return await self.app(scope, receive, send)
	maximum = 100 * 1024 * 1024
	headers = dict(scope.get('headers', []))
	try:
	length = int(headers.get(b'content-length', b'0'))
	except ValueError:
	length = 0
	if length > maximum:
	from fastapi.responses import JSONResponse
	return await JSONResponse({'detail':'A request may contain at most 100 MB of files.'}, status_code=413)(scope, receive, send)
	total = 0
	async def limited_receive():
	nonlocal total
	message = await receive()
	total += len(message.get('body', b''))
	if total > maximum:
	raise HTTPException(413, 'A request may contain at most 100 MB of files.')
	return message
	await self.app(scope, limited_receive, send)


	app.add_middleware(BodyLimit)

	DIST = ROOT / 'frontend/dist'
	if DIST.exists():
	app.mount('/', StaticFiles(directory=DIST, html=True), name='frontend')