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https://github.com/QuivrHQ/quivr.git
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* 🗃️ Rename users table into user_daily_usage * 💥 replace User model with UserIdentity model * 🗃️ New UserDailyUsage class for database interaction * 🐛 fix daily requests rate limiting per user * 🐛 fix user stats and properties update * ✏️ add typing and linting * 🚚 rename user_dialy_usage Class into user_usage & requests_count into daily_requests_count * 🚑 fix some rebase errors
179 lines
4.5 KiB
PL/PgSQL
179 lines
4.5 KiB
PL/PgSQL
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
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-- Create users table
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CREATE TABLE IF NOT EXISTS user_daily_usage(
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user_id UUID DEFAULT uuid_generate_v4() PRIMARY KEY,
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email TEXT,
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date TEXT,
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daily_requests_count INT
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);
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-- Create chats table
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CREATE TABLE IF NOT EXISTS chats(
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chat_id UUID DEFAULT uuid_generate_v4() PRIMARY KEY,
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user_id UUID REFERENCES users(user_id),
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creation_time TIMESTAMP DEFAULT current_timestamp,
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history JSONB,
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chat_name TEXT
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);
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-- Create chat_history table
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CREATE TABLE IF NOT EXISTS chat_history (
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message_id UUID DEFAULT uuid_generate_v4(),
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chat_id UUID REFERENCES chats(chat_id),
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user_message TEXT,
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assistant TEXT,
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message_time TIMESTAMP DEFAULT current_timestamp,
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PRIMARY KEY (chat_id, message_id)
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);
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-- Create vector extension
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CREATE EXTENSION IF NOT EXISTS vector;
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-- Create vectors table
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CREATE TABLE IF NOT EXISTS vectors (
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id UUID DEFAULT uuid_generate_v4() PRIMARY KEY,
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content TEXT,
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metadata JSONB,
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embedding VECTOR(1536)
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);
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-- Create function to match vectors
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CREATE OR REPLACE FUNCTION match_vectors(query_embedding VECTOR(1536), match_count INT, p_brain_id UUID)
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RETURNS TABLE(
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id UUID,
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brain_id UUID,
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content TEXT,
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metadata JSONB,
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embedding VECTOR(1536),
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similarity FLOAT
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) LANGUAGE plpgsql AS $$
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#variable_conflict use_column
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BEGIN
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RETURN QUERY
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SELECT
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vectors.id,
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brains_vectors.brain_id,
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vectors.content,
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vectors.metadata,
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vectors.embedding,
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1 - (vectors.embedding <=> query_embedding) AS similarity
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FROM
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vectors
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INNER JOIN
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brains_vectors ON vectors.id = brains_vectors.vector_id
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WHERE brains_vectors.brain_id = p_brain_id
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ORDER BY
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vectors.embedding <=> query_embedding
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LIMIT match_count;
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END;
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$$;
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-- Create stats table
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CREATE TABLE IF NOT EXISTS stats (
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time TIMESTAMP,
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chat BOOLEAN,
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embedding BOOLEAN,
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details TEXT,
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metadata JSONB,
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id INTEGER PRIMARY KEY GENERATED ALWAYS AS IDENTITY
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);
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-- Create summaries table
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CREATE TABLE IF NOT EXISTS summaries (
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id BIGSERIAL PRIMARY KEY,
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document_id UUID REFERENCES vectors(id),
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content TEXT,
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metadata JSONB,
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embedding VECTOR(1536)
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);
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-- Create function to match summaries
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CREATE OR REPLACE FUNCTION match_summaries(query_embedding VECTOR(1536), match_count INT, match_threshold FLOAT)
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RETURNS TABLE(
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id BIGINT,
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document_id UUID,
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content TEXT,
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metadata JSONB,
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embedding VECTOR(1536),
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similarity FLOAT
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) LANGUAGE plpgsql AS $$
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#variable_conflict use_column
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BEGIN
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RETURN QUERY
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SELECT
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id,
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document_id,
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content,
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metadata,
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embedding,
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1 - (summaries.embedding <=> query_embedding) AS similarity
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FROM
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summaries
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WHERE 1 - (summaries.embedding <=> query_embedding) > match_threshold
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ORDER BY
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summaries.embedding <=> query_embedding
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LIMIT match_count;
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END;
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$$;
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-- Create api_keys table
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CREATE TABLE IF NOT EXISTS api_keys(
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key_id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
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user_id UUID REFERENCES users(user_id),
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api_key TEXT UNIQUE,
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creation_time TIMESTAMP DEFAULT current_timestamp,
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deleted_time TIMESTAMP,
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is_active BOOLEAN DEFAULT true
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);
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-- Create brains table
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CREATE TABLE IF NOT EXISTS brains (
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brain_id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
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name TEXT,
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status TEXT,
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model TEXT,
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max_tokens TEXT,
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temperature FLOAT
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);
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-- Create brains X users table
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CREATE TABLE IF NOT EXISTS brains_users (
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brain_id UUID,
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user_id UUID,
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rights VARCHAR(255),
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default_brain BOOLEAN DEFAULT false,
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PRIMARY KEY (brain_id, user_id),
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FOREIGN KEY (user_id) REFERENCES users(user_id),
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FOREIGN KEY (brain_id) REFERENCES brains (brain_id)
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);
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-- Create brains X vectors table
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CREATE TABLE IF NOT EXISTS brains_vectors (
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brain_id UUID,
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vector_id UUID,
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file_sha1 TEXT,
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PRIMARY KEY (brain_id, vector_id),
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FOREIGN KEY (vector_id) REFERENCES vectors (id),
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FOREIGN KEY (brain_id) REFERENCES brains (brain_id)
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);
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-- Create brains X vectors table
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CREATE TABLE IF NOT EXISTS brain_subscription_invitations (
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brain_id UUID,
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email VARCHAR(255),
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rights VARCHAR(255),
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PRIMARY KEY (brain_id, email),
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FOREIGN KEY (brain_id) REFERENCES brains (brain_id)
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);
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CREATE TABLE IF NOT EXISTS migrations (
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name VARCHAR(255) PRIMARY KEY,
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executed_at TIMESTAMPTZ DEFAULT current_timestamp
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);
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INSERT INTO migrations (name)
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SELECT '202307111517031_change_vectors_id_type'
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WHERE NOT EXISTS (
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SELECT 1 FROM migrations WHERE name = '202307111517031_change_vectors_id_type'
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); |