mirror of
http://88.130.71.182:3000/BlitTech/contexta_be.git
synced 2026-06-12 23:23:21 +00:00
fixed storage error
This commit is contained in:
4
.gitignore
vendored
4
.gitignore
vendored
@@ -73,4 +73,6 @@ alembic/versions/*.pyc
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# Temporary files
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*.tmp
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*.temp
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*.temp
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.claude
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23
Dockerfile
23
Dockerfile
@@ -1,15 +1,15 @@
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FROM python:3.12-alpine
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FROM python:3.12-slim
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WORKDIR /app
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# Install ALL required build tools
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RUN apk add --no-cache \
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gcc \
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g++ \
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musl-dev \
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python3-dev \
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cmake \
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make
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# System deps for build tools + Playwright/Chromium
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc g++ make cmake \
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# Playwright Chromium dependencies
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libnss3 libatk1.0-0 libatk-bridge2.0-0 libcups2 libdrm2 \
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libxkbcommon0 libxcomposite1 libxdamage1 libxfixes3 libxrandr2 \
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libgbm1 libasound2 libpango-1.0-0 libcairo2 libatspi2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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RUN pip install uv
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@@ -19,8 +19,11 @@ COPY uv.lock .
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RUN uv pip install --system "pydantic[email]"
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RUN uv pip install --system .
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# Install Playwright's Chromium browser
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RUN playwright install chromium
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COPY . .
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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@@ -100,23 +100,17 @@ MODEL_CATALOG = {
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"badge": "Smart",
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"description": "Cost-effective and highly capable model",
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},
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"accounts/fireworks/models/deepseek-v3p2": {
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"name": "DeepSeek V3.2",
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"provider": "Fireworks AI",
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"badge": "Smart",
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"description": "Latest DeepSeek — faster and more capable",
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},
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"accounts/fireworks/models/kimi-k2-instruct": {
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"accounts/fireworks/models/kimi-k2-instruct-0905": {
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"name": "Kimi K2",
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"provider": "Fireworks AI",
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"badge": "Multilingual",
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"description": "Strong multilingual and coding capabilities",
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},
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"accounts/fireworks/models/kimi-k2p5-instruct": {
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"name": "Kimi K2.5",
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"accounts/fireworks/models/gpt-oss-120b": {
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"name": "GPT OSS 120B",
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"provider": "Fireworks AI",
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"badge": "Multilingual",
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"description": "Upgraded Kimi — stronger reasoning and multilingual",
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"badge": "Powerful",
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"description": "Large open-source model with strong reasoning",
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},
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# ── Pro tier (Premium providers) ───────────────────────────────────────────
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@@ -169,9 +163,8 @@ MODEL_PROVIDERS = {
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"accounts/fireworks/models/llama-v3p3-70b-instruct": "fireworks",
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"accounts/fireworks/models/qwen3-235b-a22b": "fireworks",
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"accounts/fireworks/models/deepseek-v3p1": "fireworks",
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"accounts/fireworks/models/deepseek-v3p2": "fireworks",
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"accounts/fireworks/models/kimi-k2-instruct": "fireworks",
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"accounts/fireworks/models/kimi-k2p5-instruct": "fireworks",
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"accounts/fireworks/models/kimi-k2-instruct-0905": "fireworks",
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"accounts/fireworks/models/gpt-oss-120b": "fireworks",
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# OpenAI
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"gpt-4o": "openai",
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"gpt-4o-mini": "openai",
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@@ -224,9 +217,8 @@ _ALL_FIREWORKS = [
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"accounts/fireworks/models/llama-v3p3-70b-instruct",
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"accounts/fireworks/models/qwen3-235b-a22b",
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"accounts/fireworks/models/deepseek-v3p1",
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"accounts/fireworks/models/deepseek-v3p2",
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"accounts/fireworks/models/kimi-k2-instruct",
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"accounts/fireworks/models/kimi-k2p5-instruct",
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"accounts/fireworks/models/kimi-k2-instruct-0905",
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"accounts/fireworks/models/gpt-oss-120b",
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]
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_ALL_PREMIUM = [
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"gpt-4o", "gpt-4o-mini",
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@@ -236,23 +228,23 @@ _ALL_PREMIUM = [
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PLAN_LIMITS = {
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# ── Free ─────────────────────────────────────────────────────────────────
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# Build, test, and go live with one chatbot — no card needed.
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# Generous enough to validate the product, limited enough to drive upgrades.
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"free": {
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"max_chatbots": 999999,
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"max_published": 1, # can publish 1 chatbot
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"max_documents_per_chatbot": 3,
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"max_published": 1,
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"max_documents_per_chatbot": 5,
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"max_document_size_mb": 5,
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"models": ["accounts/fireworks/models/llama-v3p3-70b-instruct"],
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"conversations_limit": 100, # 100 real conversations/month
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"conversations_limit": 300,
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"code_export": False,
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"analytics": False,
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"gap_suggestions": False,
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"channels": [], # no messaging channels
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"url_sources": 0,
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"channels": [],
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"url_sources": 2,
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"leads_per_month": 0,
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"inbox_replies": False, # read-only inbox
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"leads_editing": False, # view-only leads
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"show_branding": True, # cannot remove badge
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"inbox_replies": False,
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"leads_editing": False,
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"show_branding": True,
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"appointments": False,
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"appointments_chatbots": 0,
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"campaigns": False,
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@@ -260,38 +252,38 @@ PLAN_LIMITS = {
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"max_campaign_recipients": 0,
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},
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# ── Starter $19/mo ───────────────────────────────────────────────────────
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# For solo operators: live chat, leads, booking, and campaigns.
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# Complete package for individuals and small businesses.
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"starter": {
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"max_chatbots": 999999,
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"max_published": 3,
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"max_documents_per_chatbot": 10,
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"max_document_size_mb": 10,
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"max_documents_per_chatbot": 20,
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"max_document_size_mb": 20,
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"models": _ALL_FIREWORKS,
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"conversations_limit": 1500,
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"conversations_limit": 2000,
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"code_export": False,
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"analytics": True,
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"gap_suggestions": False,
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"channels": ["telegram"],
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"url_sources": 5,
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"leads_per_month": 500,
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"url_sources": 10,
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"leads_per_month": 999999,
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"inbox_replies": True,
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"leads_editing": True,
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"show_branding": True, # badge stays on Starter
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"show_branding": False, # branding removal starts at Starter
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"appointments": True,
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"appointments_chatbots": 1, # booking on 1 chatbot
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"appointments_chatbots": 3,
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"campaigns": True,
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"campaigns_per_month": 3,
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"max_campaign_recipients": 500,
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"campaigns_per_month": 5,
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"max_campaign_recipients": 1000,
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},
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# ── Business $49/mo ──────────────────────────────────────────────────────
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# For growing businesses: premium AI, unlimited booking, full analytics.
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# Same features as Starter + premium AI models and serious scale.
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"business": {
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"max_chatbots": 999999,
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"max_published": 10,
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"max_documents_per_chatbot": 50,
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"max_document_size_mb": 50,
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"max_documents_per_chatbot": 100,
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"max_document_size_mb": 100,
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"models": _ALL_FIREWORKS + _ALL_PREMIUM,
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"conversations_limit": 5000,
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"conversations_limit": 8000,
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"code_export": False,
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"analytics": True,
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"gap_suggestions": True,
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@@ -300,7 +292,7 @@ PLAN_LIMITS = {
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"leads_per_month": 999999,
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"inbox_replies": True,
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"leads_editing": True,
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"show_branding": False, # can remove badge
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"show_branding": False,
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"appointments": True,
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"appointments_chatbots": 999999,
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"campaigns": True,
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@@ -308,18 +300,18 @@ PLAN_LIMITS = {
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"max_campaign_recipients": 5000,
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},
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# ── Agency $99/mo ────────────────────────────────────────────────────────
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# For agencies: unlimited everything, unlimited campaign recipients.
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# For heavy users and agencies. Reserved tier for WhatsApp and future channels.
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"agency": {
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"max_chatbots": 999999,
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"max_published": 999999,
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"max_documents_per_chatbot": 999999,
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"max_document_size_mb": 200,
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"max_document_size_mb": 500,
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"models": _ALL_FIREWORKS + _ALL_PREMIUM,
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"conversations_limit": 20000,
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"conversations_limit": 25000,
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"code_export": True,
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"analytics": True,
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"gap_suggestions": True,
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"channels": ["telegram"],
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"channels": ["telegram"], # whatsapp added here when ready
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"url_sources": 999999,
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"leads_per_month": 999999,
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"inbox_replies": True,
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21
app/main.py
21
app/main.py
@@ -1,3 +1,4 @@
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import asyncio
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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@@ -24,10 +25,30 @@ async def lifespan(app: FastAPI):
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logger.info("Contexta API starting up...")
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logger.info(f"Environment: {settings.app_env}")
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logger.info(f"Allowed origins: {settings.allowed_origins_list}")
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asyncio.create_task(_requeue_pending_url_sources())
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yield
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logger.info("Contexta API shutting down...")
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async def _requeue_pending_url_sources():
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"""Re-queue any url_sources stuck in pending/processing from a previous crash."""
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try:
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from app.database import get_supabase
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from app.routers.documents import _process_url_source
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supabase = get_supabase()
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stuck = supabase.table("url_sources") \
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.select("id, url, chatbot_id") \
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.in_("status", ["pending", "processing"]) \
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.execute()
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if not stuck.data:
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return
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logger.info(f"Re-queuing {len(stuck.data)} stuck URL source(s) from previous run")
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for src in stuck.data:
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asyncio.create_task(_process_url_source(src["id"], src["url"], src["chatbot_id"], supabase))
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except Exception as e:
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logger.warning(f"Failed to re-queue pending URL sources: {e}")
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# ── App ──────────────────────────────────────────────────────────────────────────
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app = FastAPI(
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title="Contexta API",
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@@ -103,8 +103,9 @@ async def stripe_webhook(
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if event_type == "checkout.session.completed":
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session = event.data.object
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user_id = (session.metadata or {}).get("user_id")
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plan = (session.metadata or {}).get("plan", "starter")
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metadata = session.metadata
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user_id = getattr(metadata, "user_id", None) if metadata else None
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plan = getattr(metadata, "plan", "starter") if metadata else "starter"
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customer_id = session.customer
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subscription_id = session.subscription
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@@ -166,7 +167,7 @@ async def stripe_webhook(
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Webhook error: {e}")
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logger.exception(f"Webhook error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@@ -404,7 +404,7 @@ async def refresh_url_source(
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"status": "pending",
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"error_message": None,
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"chunk_count": 0,
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}).eq("id", source_id).returning("representation").execute()
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}).eq("id", source_id).execute()
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background_tasks.add_task(_process_url_source, source_id, src["url"], chatbot_id, supabase)
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@@ -9,18 +9,13 @@ logger = logging.getLogger(__name__)
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# Fireworks models are used for free/starter plans so they must always be available.
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# llama-v3p3-70b-instruct is the guaranteed last resort (confirmed working).
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_FIREWORKS_FALLBACKS = [
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"accounts/fireworks/models/kimi-k2p5-instruct",
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"accounts/fireworks/models/deepseek-v3p2",
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"accounts/fireworks/models/kimi-k2-instruct-0905",
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"accounts/fireworks/models/gpt-oss-120b",
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"accounts/fireworks/models/llama-v3p3-70b-instruct",
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]
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def _normalize_model(model: str) -> str:
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"""Strip date-based version suffixes from Fireworks model IDs.
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e.g. 'accounts/fireworks/models/kimi-k2-instruct-0905' → 'accounts/fireworks/models/kimi-k2-instruct'
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Matches only purely-numeric suffixes (4–8 digits) so names like 'llama-v3p3-70b' are untouched."""
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if model.startswith("accounts/fireworks/") or model.startswith("fireworks/"):
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model = re.sub(r"-\d{4,8}$", "", model)
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return model
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@@ -1,6 +1,5 @@
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import httpx
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import logging
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from typing import Optional
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logger = logging.getLogger(__name__)
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@@ -10,15 +9,51 @@ MAX_TEXT_BYTES = 100 * 1024 # 100KB
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async def scrape_url(url: str) -> dict:
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"""
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Fetch a URL and extract clean text content.
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Uses Playwright (headless Chromium) to handle JS-rendered pages,
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falls back to direct httpx for simple static pages.
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Returns: {title, text, url} or {error, url}
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"""
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result = await _scrape_via_playwright(url)
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if "error" not in result:
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return result
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logger.warning(f"Playwright scrape failed for {url}: {result['error']} — falling back to direct fetch")
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return await _scrape_direct(url)
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async def _scrape_via_playwright(url: str) -> dict:
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"""Headless Chromium scrape — handles JS-rendered SPAs."""
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try:
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from playwright.async_api import async_playwright
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=True)
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page = await browser.new_page()
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await page.goto(url, wait_until="networkidle", timeout=30000)
|
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title = await page.title()
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text = await page.evaluate("""() => {
|
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document.querySelectorAll('nav, header, footer, script, style, noscript, aside').forEach(e => e.remove());
|
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return document.body ? document.body.innerText.trim() : '';
|
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}""")
|
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await browser.close()
|
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|
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text = _clean_text(text)
|
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if not text:
|
||||
return {"error": "No text content found on page", "url": url}
|
||||
|
||||
logger.info(f"Scraped {url} via Playwright: {len(text)} chars, title='{title}'")
|
||||
return {"title": title, "text": text, "url": url}
|
||||
|
||||
except Exception as e:
|
||||
return {"error": str(e)[:200], "url": url}
|
||||
|
||||
|
||||
async def _scrape_direct(url: str) -> dict:
|
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"""Direct httpx scrape — works for server-rendered pages."""
|
||||
try:
|
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from bs4 import BeautifulSoup
|
||||
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (compatible; ContextaBot/1.0; +https://contexta.ai)",
|
||||
}
|
||||
|
||||
headers = {"User-Agent": "Mozilla/5.0 (compatible; ContextaBot/1.0; +https://contexta.ai)"}
|
||||
async with httpx.AsyncClient(timeout=30, follow_redirects=True) as client:
|
||||
response = await client.get(url, headers=headers)
|
||||
response.raise_for_status()
|
||||
@@ -27,46 +62,20 @@ async def scrape_url(url: str) -> dict:
|
||||
if "text/html" not in content_type and "text/plain" not in content_type:
|
||||
return {"error": f"Unsupported content type: {content_type}", "url": url}
|
||||
|
||||
html = response.text
|
||||
soup = BeautifulSoup(html, "html.parser")
|
||||
|
||||
# Extract title
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
title_tag = soup.find("title")
|
||||
title = title_tag.get_text(strip=True) if title_tag else ""
|
||||
|
||||
# Remove unwanted tags
|
||||
for tag in soup.find_all(["nav", "header", "footer", "script", "style", "noscript", "aside", "advertisement"]):
|
||||
for tag in soup.find_all(["nav", "header", "footer", "script", "style", "noscript", "aside"]):
|
||||
tag.decompose()
|
||||
|
||||
# Extract main content (prefer article/main/body)
|
||||
main = soup.find("main") or soup.find("article") or soup.find("body") or soup
|
||||
text = main.get_text(separator="\n", strip=True)
|
||||
|
||||
# Clean up whitespace and filter structural noise
|
||||
seen_lines: set[str] = set()
|
||||
clean_lines = []
|
||||
for line in text.splitlines():
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
# Skip very short lines (nav items, button labels, breadcrumb separators)
|
||||
if len(line) < 15:
|
||||
continue
|
||||
# Skip duplicate lines (nav/footer repeated across sections)
|
||||
if line in seen_lines:
|
||||
continue
|
||||
seen_lines.add(line)
|
||||
clean_lines.append(line)
|
||||
text = "\n".join(clean_lines)
|
||||
|
||||
# Limit size
|
||||
if len(text.encode("utf-8")) > MAX_TEXT_BYTES:
|
||||
text = text[:MAX_TEXT_BYTES].rsplit("\n", 1)[0]
|
||||
text = _clean_text(main.get_text(separator="\n", strip=True))
|
||||
|
||||
if not text:
|
||||
return {"error": "No text content found on page", "url": url}
|
||||
|
||||
logger.info(f"Scraped {url}: {len(text)} chars, title='{title}'")
|
||||
logger.info(f"Scraped {url} directly: {len(text)} chars, title='{title}'")
|
||||
return {"title": title, "text": text, "url": url}
|
||||
|
||||
except httpx.TimeoutException:
|
||||
@@ -76,3 +85,18 @@ async def scrape_url(url: str) -> dict:
|
||||
except Exception as e:
|
||||
logger.error(f"Scrape error for {url}: {e}")
|
||||
return {"error": str(e)[:200], "url": url}
|
||||
|
||||
|
||||
def _clean_text(text: str) -> str:
|
||||
seen: set[str] = set()
|
||||
lines = []
|
||||
for line in text.splitlines():
|
||||
line = line.strip()
|
||||
if not line or len(line) < 5 or line in seen:
|
||||
continue
|
||||
seen.add(line)
|
||||
lines.append(line)
|
||||
text = "\n".join(lines)
|
||||
if len(text.encode("utf-8")) > MAX_TEXT_BYTES:
|
||||
text = text[:MAX_TEXT_BYTES].rsplit("\n", 1)[0]
|
||||
return text
|
||||
|
||||
@@ -14,6 +14,7 @@ dependencies = [
|
||||
"supabase>=2.28.0",
|
||||
"uvicorn>=0.41.0",
|
||||
"beautifulsoup4>=4.12.0",
|
||||
"playwright>=1.40.0",
|
||||
"httpx>=0.27.0",
|
||||
"anthropic>=0.40.0",
|
||||
"google-generativeai>=0.8.0",
|
||||
|
||||
Reference in New Issue
Block a user