mirror of
https://github.com/StanGirard/quivr.git
synced 2024-11-24 05:55:13 +03:00
453 lines
12 KiB
PL/PgSQL
453 lines
12 KiB
PL/PgSQL
-- Create users table
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CREATE TABLE IF NOT EXISTS user_daily_usage(
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user_id UUID REFERENCES auth.users (id),
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email TEXT,
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date TEXT,
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daily_requests_count INT,
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PRIMARY KEY (user_id, date)
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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 auth.users (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 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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file_sha1 TEXT,
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metadata JSONB,
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embedding VECTOR(4096)
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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(4096), 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(4096),
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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(4096)
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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(4096), 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(4096),
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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 auth.users (id),
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name TEXT DEFAULT 'API_KEY',
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days INT DEFAULT 30,
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only_chat BOOLEAN DEFAULT false,
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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 prompts table
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CREATE TABLE IF NOT EXISTS prompts (
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id UUID DEFAULT uuid_generate_v4() PRIMARY KEY,
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title VARCHAR(255),
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content TEXT,
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status VARCHAR(255) DEFAULT 'private'
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);
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DO $$
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BEGIN
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'brain_type_enum') THEN
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-- Create the ENUM type 'brain_type' if it doesn't exist
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CREATE TYPE brain_type_enum AS ENUM ('doc', 'api');
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END IF;
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END $$;
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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 NOT NULL,
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status TEXT,
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description TEXT,
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model TEXT,
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max_tokens INT,
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temperature FLOAT,
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prompt_id UUID REFERENCES prompts(id),
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last_update TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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brain_type brain_type_enum DEFAULT 'doc'
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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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prompt_id UUID REFERENCES prompts(id),
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brain_id UUID REFERENCES brains(brain_id)
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);
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-- Create notification table
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CREATE TABLE IF NOT EXISTS notifications (
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id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
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datetime TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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chat_id UUID REFERENCES chats(chat_id),
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message TEXT,
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action VARCHAR(255) NOT NULL,
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status VARCHAR(255) NOT NULL
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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 auth.users (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 user_identity table
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CREATE TABLE IF NOT EXISTS user_identity (
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user_id UUID PRIMARY KEY,
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openai_api_key VARCHAR(255)
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);
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-- Create the new table with 6 columns
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CREATE TABLE IF NOT EXISTS api_brain_definition (
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brain_id UUID REFERENCES brains(brain_id),
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method VARCHAR(255) CHECK (method IN ('GET', 'POST', 'PUT', 'DELETE')),
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url VARCHAR(255),
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params JSON,
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search_params JSON,
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secrets JSON
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);
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CREATE OR REPLACE FUNCTION public.get_user_email_by_user_id(user_id uuid)
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RETURNS TABLE (email text)
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SECURITY definer
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AS $$
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BEGIN
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RETURN QUERY SELECT au.email::text FROM auth.users au WHERE au.id = user_id;
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END;
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$$ LANGUAGE plpgsql;
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CREATE OR REPLACE FUNCTION public.get_user_id_by_user_email(user_email text)
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RETURNS TABLE (user_id uuid)
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SECURITY DEFINER
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AS $$
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BEGIN
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RETURN QUERY SELECT au.id::uuid FROM auth.users au WHERE au.email = user_email;
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END;
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$$ LANGUAGE plpgsql;
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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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CREATE TABLE IF NOT EXISTS user_settings (
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user_id UUID PRIMARY KEY,
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models JSONB DEFAULT '["ollama/llama2"]'::jsonb,
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daily_chat_credit INT DEFAULT 300,
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max_brains INT DEFAULT 30,
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max_brain_size INT DEFAULT 100000000
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);
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-- knowledge table
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CREATE TABLE IF NOT EXISTS knowledge (
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id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
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file_name TEXT,
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url TEXT,
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brain_id UUID NOT NULL REFERENCES brains(brain_id),
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extension TEXT NOT NULL,
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CHECK ((file_name IS NOT NULL AND url IS NULL) OR (file_name IS NULL AND url IS NOT NULL))
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);
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-- knowledge_vectors table
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CREATE TABLE IF NOT EXISTS knowledge_vectors (
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knowledge_id UUID NOT NULL REFERENCES knowledge(id),
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vector_id UUID NOT NULL REFERENCES vectors(id),
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embedding_model TEXT NOT NULL,
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PRIMARY KEY (knowledge_id, vector_id, embedding_model)
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);
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-- Create the function to add user_id to the onboardings table
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CREATE OR REPLACE FUNCTION public.create_user_onboarding() RETURNS TRIGGER AS $$
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BEGIN
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INSERT INTO public.onboardings (user_id)
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VALUES (NEW.id);
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql SECURITY definer;
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-- Revoke all on function handle_new_user_onboarding() from PUBLIC;
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REVOKE ALL ON FUNCTION create_user_onboarding() FROM PUBLIC;
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-- Drop the trigger if it exists
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DROP TRIGGER IF EXISTS create_user_onboarding_trigger ON auth.users;
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-- Create the trigger on the insert into the auth.users table
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CREATE TRIGGER create_user_onboarding_trigger
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AFTER INSERT ON auth.users
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FOR EACH ROW
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EXECUTE FUNCTION public.create_user_onboarding();
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-- Create the onboarding table
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CREATE TABLE IF NOT EXISTS onboardings (
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user_id UUID NOT NULL REFERENCES auth.users (id),
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onboarding_a BOOLEAN NOT NULL DEFAULT true,
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onboarding_b1 BOOLEAN NOT NULL DEFAULT true,
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onboarding_b2 BOOLEAN NOT NULL DEFAULT true,
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onboarding_b3 BOOLEAN NOT NULL DEFAULT true,
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creation_time TIMESTAMP DEFAULT current_timestamp,
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PRIMARY KEY (user_id)
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);
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-- Stripe settings --
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-- Create extension 'wrappers' if it doesn't exist
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CREATE EXTENSION IF NOT EXISTS wrappers;
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-- Create foreign data wrapper 'stripe_wrapper' if it doesn't exist
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DO $$
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BEGIN
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IF NOT EXISTS (
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SELECT 1
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FROM information_schema.foreign_data_wrappers
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WHERE foreign_data_wrapper_name = 'stripe_wrapper'
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) THEN
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CREATE FOREIGN DATA WRAPPER stripe_wrapper
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HANDLER stripe_fdw_handler;
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END IF;
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END $$;
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-- Check if the server 'stripe_server' exists before creating it
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DO $$
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BEGIN
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IF NOT EXISTS (SELECT 1 FROM pg_foreign_server WHERE srvname = 'stripe_server') THEN
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CREATE SERVER stripe_server
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FOREIGN DATA WRAPPER stripe_wrapper
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OPTIONS (
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api_key 'your_stripe_api_key' -- Replace with your Stripe API key
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);
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END IF;
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END $$;
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-- Create foreign table 'public.customers' if it doesn't exist
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DO $$
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BEGIN
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IF NOT EXISTS (
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SELECT 1
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FROM information_schema.tables
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WHERE table_name = 'customers'
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) THEN
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CREATE FOREIGN TABLE public.customers (
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id text,
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email text,
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name text,
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description text,
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created timestamp,
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attrs jsonb
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)
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SERVER stripe_server
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OPTIONS (
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OBJECT 'customers',
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ROWID_COLUMN 'id'
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);
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END IF;
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END $$;
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-- Create table 'users' if it doesn't exist
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CREATE TABLE IF NOT EXISTS public.users (
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id uuid REFERENCES auth.users NOT NULL PRIMARY KEY,
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email text
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);
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-- Create or replace function 'public.handle_new_user'
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CREATE OR REPLACE FUNCTION public.handle_new_user()
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RETURNS TRIGGER AS $$
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BEGIN
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INSERT INTO public.users (id, email)
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VALUES (NEW.id, NEW.email);
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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-- Check if the trigger 'on_auth_user_created' exists before creating it
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DO $$
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BEGIN
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IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = 'on_auth_user_created') THEN
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CREATE TRIGGER on_auth_user_created
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AFTER INSERT ON auth.users
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FOR EACH ROW EXECUTE FUNCTION public.handle_new_user();
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END IF;
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END $$;
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insert into
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storage.buckets (id, name)
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values
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('quivr', 'quivr');
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CREATE POLICY "Access Quivr Storage 1jccrwz_0" ON storage.objects FOR INSERT TO anon WITH CHECK (bucket_id = 'quivr');
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CREATE POLICY "Access Quivr Storage 1jccrwz_1" ON storage.objects FOR SELECT TO anon USING (bucket_id = 'quivr');
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CREATE POLICY "Access Quivr Storage 1jccrwz_2" ON storage.objects FOR UPDATE TO anon USING (bucket_id = 'quivr');
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CREATE POLICY "Access Quivr Storage 1jccrwz_3" ON storage.objects FOR DELETE TO anon USING (bucket_id = 'quivr');
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-- Create functions for secrets in vault
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CREATE OR REPLACE FUNCTION insert_secret(name text, secret text)
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returns uuid
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language plpgsql
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security definer
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set search_path = public
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as $$
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begin
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return vault.create_secret(secret, name);
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end;
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$$;
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create or replace function read_secret(secret_name text)
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returns text
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language plpgsql
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security definer set search_path = public
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as $$
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declare
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secret text;
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begin
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select decrypted_secret from vault.decrypted_secrets where name =
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secret_name into secret;
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return secret;
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end;
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$$;
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create or replace function delete_secret(secret_name text)
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returns text
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language plpgsql
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security definer set search_path = public
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as $$
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declare
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deleted_rows int;
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begin
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delete from vault.decrypted_secrets where name = secret_name;
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get diagnostics deleted_rows = row_count;
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if deleted_rows = 0 then
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return false;
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else
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return true;
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end if;
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end;
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$$;
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INSERT INTO migrations (name)
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SELECT '20231203173900_new_api_key_format'
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WHERE NOT EXISTS (
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SELECT 1 FROM migrations WHERE name = '20231203173900_new_api_key_format'
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);
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