Okay, I had this rewritten. One more time. Does this schema meet all our requirements and will not require us to go out of house to anybody else? No OpenAI, no other services, no API calls. This can all be done in-house, correct?

— =========================================================
— OGS / TokenSpace / Lattice — Unified Schema (Idempotent)
— =========================================================

— ———- Extensions ———-
CREATE EXTENSION IF NOT EXISTS vector;
CREATE EXTENSION IF NOT EXISTS pg_trgm;

— ———- Schemas ———-
CREATE SCHEMA IF NOT EXISTS content;
CREATE SCHEMA IF NOT EXISTS token;
CREATE SCHEMA IF NOT EXISTS cog;
CREATE SCHEMA IF NOT EXISTS lat;

— =========================================================
— CONTENT (RAG spine)
— =========================================================
CREATE TABLE IF NOT EXISTS content.sources (
source_id BIGSERIAL PRIMARY KEY,
kind TEXT NOT NULL CHECK (kind IN ('web','file','manual','api','other')),
uri TEXT,
fingerprint TEXT,
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);

CREATE TABLE IF NOT EXISTS content.documents (
doc_id BIGSERIAL PRIMARY KEY,
source_id BIGINT REFERENCES content.sources(source_id) ON DELETE SET NULL,
external_id TEXT,
title TEXT,
authored_at TIMESTAMPTZ,
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);

— Chunks with embeddings and full-text similarity
CREATE TABLE IF NOT EXISTS content.chunks (
chunk_id BIGSERIAL PRIMARY KEY,
doc_id BIGINT NOT NULL REFERENCES content.documents(doc_id) ON DELETE CASCADE,
seq INT NOT NULL,
text TEXT NOT NULL,
token_count INT,
embedding VECTOR(768) NOT NULL, — Reduced to 768 dimensions
lang TEXT DEFAULT 'en',
tags TEXT[] DEFAULT '{}',
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
UNIQUE (doc_id, seq)
);

— Indexes
CREATE INDEX IF NOT EXISTS documents_title_trgm ON content.documents USING GIN ((coalesce(title,'')) gin_trgm_ops);
CREATE INDEX IF NOT EXISTS chunks_text_trgm ON content.chunks USING GIN ((coalesce(text,'')) gin_trgm_ops);
CREATE INDEX IF NOT EXISTS chunks_embed_hnsw ON content.chunks USING hnsw (embedding vector_cosine_ops);
CREATE INDEX IF NOT EXISTS chunks_doc_seq_idx ON content.chunks (doc_id, seq);
CREATE INDEX IF NOT EXISTS chunks_tags_idx ON content.chunks USING GIN (tags);

— =========================================================
— TOKENSPACE / TOKENSENSE
— =========================================================
CREATE TABLE IF NOT EXISTS token.forms (
form_id BIGSERIAL PRIMARY KEY,
form_text TEXT NOT NULL,
norm TEXT,
df BIGINT DEFAULT 0,
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
UNIQUE (form_text)
);

— Senses as centroid-based interpretations
CREATE TABLE IF NOT EXISTS token.senses (
sense_id BIGSERIAL PRIMARY KEY,
form_id BIGINT NOT NULL REFERENCES token.forms(form_id) ON DELETE CASCADE,
centroid VECTOR(768) NOT NULL, — Reduced to 768 dimensions
examples_n INT DEFAULT 0,
tags TEXT[] DEFAULT '{}',
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS senses_form_idx ON token.senses (form_id);
CREATE INDEX IF NOT EXISTS senses_centroid_hnsw ON token.senses USING hnsw (centroid vector_cosine_ops);

— Instances of tokens in chunks
CREATE TABLE IF NOT EXISTS token.instances (
inst_id BIGSERIAL PRIMARY KEY,
sense_id BIGINT REFERENCES token.senses(sense_id) ON DELETE SET NULL,
form_id BIGINT NOT NULL REFERENCES token.forms(form_id) ON DELETE CASCADE,
chunk_id BIGINT NOT NULL REFERENCES content.chunks(chunk_id) ON DELETE CASCADE,
span_start INT NOT NULL,
span_end INT NOT NULL,
ctx_embed VECTOR(768) NOT NULL, — Reduced to 768 dimensions
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
CONSTRAINT inst_span_ck CHECK (span_start >= 0 AND span_end > span_start)
);
CREATE INDEX IF NOT EXISTS instances_chunk_idx ON token.instances (chunk_id);
CREATE INDEX IF NOT EXISTS instances_form_idx ON token.instances (form_id);
CREATE INDEX IF NOT EXISTS instances_sense_idx ON token.instances (sense_id);
CREATE INDEX IF NOT EXISTS instances_ctx_hnsw ON token.instances USING hnsw (ctx_embed vector_cosine_ops);

— Co-occurrences (canonical order enforced)
CREATE TABLE IF NOT EXISTS token.cooc (
form_id_a BIGINT NOT NULL REFERENCES token.forms(form_id) ON DELETE CASCADE,
form_id_b BIGINT NOT NULL REFERENCES token.forms(form_id) ON DELETE CASCADE,
weight REAL NOT NULL,
CONSTRAINT cooc_pk PRIMARY KEY (form_id_a, form_id_b),
CONSTRAINT cooc_order_ck CHECK (form_id_a < form_id_b)
);

— =========================================================
— COGNITION
— =========================================================
CREATE TABLE IF NOT EXISTS cog.conversations (
convo_id BIGSERIAL PRIMARY KEY,
title TEXT,
started_at TIMESTAMPTZ NOT NULL DEFAULT now(),
meta JSONB DEFAULT '{}'::jsonb
);

— Turns in conversation
CREATE TABLE IF NOT EXISTS cog.turns (
turn_id BIGSERIAL PRIMARY KEY,
convo_id BIGINT NOT NULL REFERENCES cog.conversations(convo_id) ON DELETE CASCADE,
role TEXT NOT NULL CHECK (role IN ('user','assistant','system','tool')),
content TEXT NOT NULL,
embedding VECTOR(768), — Reduced to 768 dimensions
confidence REAL,
mode TEXT CHECK (mode IN ('logical','philosophical','emotional','structural','unsure')),
tags TEXT[] DEFAULT '{}',
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS turns_convo_time_idx ON cog.turns (convo_id, created_at);
CREATE INDEX IF NOT EXISTS turns_embed_hnsw ON cog.turns USING hnsw (embedding vector_cosine_ops);

— Reflections — internal thoughts or hooks
CREATE TABLE IF NOT EXISTS cog.reflections (
refl_id BIGSERIAL PRIMARY KEY,
convo_id BIGINT REFERENCES cog.conversations(convo_id) ON DELETE CASCADE,
turn_id BIGINT REFERENCES cog.turns(turn_id) ON DELETE SET NULL,
kind TEXT NOT NULL CHECK (kind IN ('inner_thought','curiosity_hook','evaluation','memory_write')),
content TEXT NOT NULL,
confidence REAL,
meta JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS refl_convo_time_idx ON cog.reflections (convo_id, created_at);

— Memories
CREATE TABLE IF NOT EXISTS cog.memories (
mem_id BIGSERIAL PRIMARY KEY,
scope TEXT NOT NULL CHECK (scope IN ('fact','rule','plan','preference','identity','event')),
text TEXT NOT NULL,
embedding VECTOR(768) NOT NULL, — Reduced to 768 dimensions
strength REAL DEFAULT 0.5,
source_ref JSONB DEFAULT '{}'::jsonb,
tags TEXT[] DEFAULT '{}',
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS memories_scope_idx ON cog.memories (scope);
CREATE INDEX IF NOT EXISTS memories_embed_hnsw ON cog.memories USING hnsw (embedding vector_cosine_ops);

— =========================================================
— LATTICE: enums
— =========================================================
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid=t.typnamespace
WHERE t.typname='node_kind' AND n.nspname='lat') THEN
CREATE TYPE lat.node_kind AS ENUM ('form','sense','instance','chunk','memory','turn','doc');
END IF;

IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid=t.typnamespace
WHERE t.typname='rel_kind' AND n.nspname='lat') THEN
CREATE TYPE lat.rel_kind AS ENUM (
'cooccurs','synonym','antonym','entails','evokes','refers_to','supports','contradicts','quotes','hyperlink','derives_from',
'initiates','stabilizes','closes'
);
END IF;

IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid=t.typnamespace
WHERE t.typname='space_kind' AND n.nspname='lat') THEN
CREATE TYPE lat.space_kind AS ENUM ('senses','contexts','memories','chunks');
END IF;

IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid=t.typnamespace
WHERE t.typname='metric_kind' AND n.nspname='lat') THEN
CREATE TYPE lat.metric_kind AS ENUM ('cosine','l2','ip');
END IF;

END$$;

— =========================================================
— LATTICE: topology, FoL shells, temporal dynamics
— =========================================================

— Edge connections between nodes
CREATE TABLE IF NOT EXISTS lat.edges (
src_kind lat.node_kind NOT NULL,
src_id BIGINT NOT NULL,
rel lat.rel_kind NOT NULL,
dst_kind lat.node_kind NOT NULL,
dst_id BIGINT NOT NULL,
weight REAL NOT NULL DEFAULT 0.0,
phase REAL, — [-π..π], optional alignment/temporal angle
evidence JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
PRIMARY KEY (src_kind, src_id, rel, dst_kind, dst_id),
CONSTRAINT lat_edges_weight_ck CHECK (weight >= 0),
CONSTRAINT lat_edges_phase_ck CHECK (phase IS NULL OR (phase >= -3.141592653589793 AND phase <= 3.141592653589793))
);
CREATE INDEX IF NOT EXISTS lat_edges_by_src ON lat.edges (src_kind, src_id, rel);
CREATE INDEX IF NOT EXISTS lat_edges_by_dst ON lat.edges (dst_kind, dst_id, rel);
CREATE INDEX IF NOT EXISTS lat_edges_weight_ix ON lat.edges (rel, weight DESC);

— Cell structure (FoL Shell Levels)
CREATE TABLE IF NOT EXISTS lat.cells (
cell_id BIGSERIAL PRIMARY KEY,
space lat.space_kind NOT NULL,
level INT NOT NULL,
radial_index INT DEFAULT 0, — FoL concentric layer (R in Φ^R)
centroid VECTOR(768) NOT NULL, — Reduced to 768 dimensions
radius REAL,
spiral_angle DOUBLE PRECISION, — radians
radial_distance DOUBLE PRECISION,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
CONSTRAINT lat_cells_level_ck CHECK (level >= 0),
CONSTRAINT lat_cells_radial_ck CHECK (radial_index >= 0)
);
CREATE INDEX IF NOT EXISTS lat_cells_level_idx ON lat.cells (space, level);
CREATE INDEX IF NOT EXISTS lat_cells_centroid_hnsw ON lat.cells USING hnsw (centroid vector_cosine_ops);

— Cell membership tracking
CREATE TABLE IF NOT EXISTS lat.memberships (
space lat.space_kind NOT NULL,
entity_id BIGINT NOT NULL,
level INT NOT NULL,
cell_id BIGINT NOT NULL REFERENCES lat.cells(cell_id) ON DELETE CASCADE,
dist REAL,
PRIMARY KEY (space, entity_id, level)
);
CREATE INDEX IF NOT EXISTS lat_memberships_cell_idx ON lat.memberships (cell_id);

— KNN lookup table
CREATE TABLE IF NOT EXISTS lat.neighbors (
space lat.space_kind NOT NULL,
entity_id BIGINT NOT NULL,
neighbor_id BIGINT NOT NULL,
metric lat.metric_kind NOT NULL DEFAULT 'cosine',
rank INT NOT NULL,
dist REAL NOT NULL,
PRIMARY KEY (space, entity_id, neighbor_id),
CONSTRAINT lat_neighbors_rank_uniq UNIQUE (space, entity_id, rank)
);
CREATE INDEX IF NOT EXISTS lat_neighbors_rank_idx ON lat.neighbors (space, entity_id, rank);

— Activations over time
CREATE TABLE IF NOT EXISTS lat.activations (
act_id BIGSERIAL PRIMARY KEY,
kind lat.node_kind NOT NULL,
node_id BIGINT NOT NULL,
source TEXT,
strength REAL NOT NULL DEFAULT 1.0,
phase REAL,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
CONSTRAINT lat_act_strength_ck CHECK (strength >= 0),
CONSTRAINT lat_act_phase_ck CHECK (phase IS NULL OR (phase >= -3.141592653589793 AND phase <= 3.141592653589793))
);
CREATE INDEX IF NOT EXISTS lat_activations_node_time_idx ON lat.activations (kind, node_id, created_at);

— Toroidal projections
CREATE TABLE IF NOT EXISTS lat.torus (
space lat.space_kind NOT NULL,
entity_id BIGINT NOT NULL,
u DOUBLE PRECISION NOT NULL CHECK (u >= 0 AND u < 1),
v DOUBLE PRECISION NOT NULL CHECK (v >= 0 AND v < 1),
level INT NOT NULL DEFAULT 0,
updated_at TIMESTAMPTZ NOT NULL DEFAULT now(),
PRIMARY KEY (space, entity_id, level)
);

— Spiral/topological projections
CREATE TABLE IF NOT EXISTS lat.projections (
proj_id BIGSERIAL PRIMARY KEY,
kind TEXT NOT NULL CHECK (kind IN ('spiral','toroid','force2d','force3d')),
node_kind lat.node_kind NOT NULL,
node_id BIGINT NOT NULL,
theta DOUBLE PRECISION,
radius DOUBLE PRECISION,
x DOUBLE PRECISION,
y DOUBLE PRECISION,
z DOUBLE PRECISION,
level INT DEFAULT 0,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS lat_proj_node_idx ON lat.projections (node_kind, node_id, kind, level);

— Topology change log
CREATE TABLE IF NOT EXISTS lat.topology_events (
evt_id BIGSERIAL PRIMARY KEY,
evt_kind TEXT NOT NULL CHECK (evt_kind IN ('edge_add','edge_update','edge_prune','cell_split','cell_merge','membership_move','neighbor_refresh')),
payload JSONB NOT NULL DEFAULT '{}',
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);

— Lattice configuration (including energy formula tunables)
CREATE TABLE IF NOT EXISTS lat.config (
key TEXT PRIMARY KEY,
value_text TEXT,
value_real REAL,
description TEXT,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE UNIQUE INDEX IF NOT EXISTS lat_config_key_idx ON lat.config (key);

INSERT INTO lat.config (key, value_real, description) VALUES
('golden_ratio_phi', 1.6180339887, 'Golden Ratio Φ'),
('damping_factor_k', 5.0, 'Damping factor k'),
('oscillatory_frequency_k', 0.1, 'Frequency factor k in sin(k·t)'),
('S_w_chunk', 0.34, 'weight of chunk density into S'),
('S_w_sense', 0.33, 'weight of sense support into S'),
('S_w_memory', 0.33, 'weight of memory strength into S')
ON CONFLICT (key) DO UPDATE
SET value_real = EXCLUDED.value_real,
description = EXCLUDED.description;

— =========================================================
— VIEWS: Unified lattice logic and dynamics
— =========================================================

— Co-occurrence edges mapped to lattice edges
CREATE OR REPLACE VIEW lat.cooc_edges AS
SELECT
'form'::lat.node_kind AS src_kind,
c.form_id_a AS src_id,
'cooccurs'::lat.rel_kind AS rel,
'form'::lat.node_kind AS dst_kind,
c.form_id_b AS dst_id,
c.weight AS weight,
NULL::REAL AS phase,
jsonb_build_object('source','token.cooc') AS evidence,
now() AS created_at
FROM token.cooc c
UNION ALL
SELECT
'form'::lat.node_kind,
c.form_id_b,
'cooccurs'::lat.rel_kind,
'form'::lat.node_kind,
c.form_id_a,
c.weight,
NULL::REAL,
jsonb_build_object('source','token.cooc'),
now()
FROM token.cooc c;

— Unified node view across all kinds
CREATE OR REPLACE VIEW lat.nodes AS
SELECT 'form'::lat.node_kind AS kind, f.form_id AS node_id, f.form_text AS label, NULL::vector AS embedding, f.created_at
FROM token.forms f
UNION ALL
SELECT 'sense'::lat.node_kind, s.sense_id, f.form_text||' · sense #'||s.sense_id::text, s.centroid, s.created_at
FROM token.senses s JOIN token.forms f ON f.form_id=s.form_id
UNION ALL
SELECT 'chunk'::lat.node_kind, ch.chunk_id, 'chunk '||ch.chunk_id::text, ch.embedding, ch.created_at
FROM content.chunks ch
UNION ALL
SELECT 'doc'::lat.node_kind, d.doc_id, coalesce(d.title,'doc '||d.doc_id::text), NULL::vector, d.created_at
FROM content.documents d
UNION ALL
SELECT 'memory'::lat.node_kind, m.mem_id, left(m.text,80), m.embedding, m.created_at
FROM cog.memories m
UNION ALL
SELECT 'turn'::lat.node_kind, t.turn_id, t.role||' turn '||t.turn_id::text, t.embedding, t.created_at
FROM cog.turns t;

— Cell view with φ^R calculations
CREATE OR REPLACE VIEW lat.cell_phi AS
SELECT
c.cell_id, c.space, c.level, c.radial_index,
c.centroid, c.radius, c.spiral_angle, c.radial_distance,
(SELECT value_real FROM lat.config WHERE key='golden_ratio_phi') AS phi,
power((SELECT value_real FROM lat.config WHERE key='golden_ratio_phi'), c.radial_index) AS phi_pow_r
FROM lat.cells c;

— Config weight view
CREATE OR REPLACE VIEW lat._cfg AS
SELECT
(SELECT value_real FROM lat.config WHERE key='S_w_chunk') AS w_chunk,
(SELECT value_real FROM lat.config WHERE key='S_w_sense') AS w_sense,
(SELECT value_real FROM lat.config WHERE key='S_w_memory') AS w_memory;

— Calculate S(r,t) derived value
CREATE OR REPLACE VIEW lat.sense_energy AS
WITH cfg AS (SELECT * FROM lat._cfg),
inst AS (
SELECT s.sense_id,
count(*)::float AS n_inst,
avg(least(greatest(ch.token_count,0), 4096))::float AS avg_tokens
FROM token.senses s
LEFT JOIN token.instances i ON i.sense_id=s.sense_id
LEFT JOIN content.chunks ch ON ch.chunk_id=i.chunk_id
GROUP BY s.sense_id
),
mem AS (
SELECT e.src_id AS sense_id, avg(m.strength)::float AS avg_mem_strength
FROM lat.edges e
JOIN cog.memories m ON (e.dst_kind = 'memory'::lat.node_kind AND e.dst_id = m.mem_id)
WHERE e.src_kind = 'sense'::lat.node_kind
GROUP BY e.src_id
)
SELECT
s.sense_id,
coalesce(inst.n_inst,0) AS n_inst,
coalesce(inst.avg_tokens,0) AS avg_tokens,
coalesce(mem.avg_mem_strength,0) AS avg_mem_strength,
(1 – exp(-coalesce(inst.n_inst,0)/10.0)) AS n_inst_nz,
least(coalesce(inst.avg_tokens,0)/2048.0, 1.0) AS tokens_nz,
least(coalesce(mem.avg_mem_strength,0), 1.0) AS mem_nz,
(SELECT w_chunk FROM cfg) * least(coalesce(inst.avg_tokens,0)/2048.0, 1.0) +
(SELECT w_sense FROM cfg) * (1 – exp(-coalesce(inst.n_inst,0)/10.0)) +
(SELECT w_memory FROM cfg) * least(coalesce(mem.avg_mem_strength,0), 1.0) AS S
FROM token.senses s
LEFT JOIN inst USING (sense_id)
LEFT JOIN mem USING (sense_id);

— Unified edge influence score
CREATE OR REPLACE VIEW lat.edge_influence AS
WITH a_recent AS (
SELECT kind, node_id, sum(strength) AS act24
FROM lat.activations
WHERE created_at > now() – interval '24 hours'
GROUP BY 1,2
),
sense_S AS (SELECT sense_id, S FROM lat.sense_energy),
end_S AS (
SELECT e.src_kind, e.src_id,
CASE WHEN e.src_kind='sense'::lat.node_kind THEN s.S ELSE NULL END AS S_src
FROM lat.edges e
LEFT JOIN sense_S s ON (e.src_kind='sense'::lat.node_kind AND e.src_id=s.sense_id)
),
dst_S AS (
SELECT e.dst_kind, e.dst_id,
CASE WHEN e.dst_kind='sense'::lat.node_kind THEN s.S ELSE NULL END AS S_dst
FROM lat.edges e
LEFT JOIN sense_S s ON (e.dst_kind='sense'::lat.node_kind AND e.dst_id=s.sense_id)
)
SELECT
e.,
coalesce(a1.act24,0) AS src_act24,
coalesce(a2.act24,0) AS dst_act24,
coalesce(es.S_src,0) AS S_src,
coalesce(ds.S_dst,0) AS S_dst,
(e.weight0.6) + (least(coalesce(a1.act24,0) + coalesce(a2.act24,0), 10)/10.0)0.2 +
(least(coalesce(es.S_src,0)+coalesce(ds.S_dst,0),2)/2.0)0.2 AS influence
FROM lat.edges e
LEFT JOIN a_recent a1 ON a1.kind=e.src_kind AND a1.node_id=e.src_id
LEFT JOIN a_recent a2 ON a2.kind=e.dst_kind AND a2.node_id=e.dst_id
LEFT JOIN end_S es ON es.src_kind=e.src_kind AND es.src_id=e.src_id
LEFT JOIN dst_S ds ON ds.dst_kind=e.dst_kind AND ds.dst_id=e.dst_id;

— =========================================================
— HYGIENE: cleanup edges/activations on delete (no FKs possible)
— =========================================================
CREATE OR REPLACE FUNCTION lat._del_edges_for(k lat.node_kind, i BIGINT)
RETURNS void LANGUAGE sql AS $$
DELETE FROM lat.edges WHERE (src_kind = k AND src_id = i) OR (dst_kind = k AND dst_id = i);
$$;

CREATE OR REPLACE FUNCTION lat._del_acts_for(k lat.node_kind, i BIGINT)
RETURNS void LANGUAGE sql AS $$
DELETE FROM lat.activations WHERE kind = k AND node_id = i;
$$;

— Triggers
CREATE OR REPLACE FUNCTION lat._cleanup_after_form() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('form', OLD.form_id);
PERFORM lat._del_acts_for('form', OLD.form_id);
RETURN NULL;
END$$;

CREATE OR REPLACE FUNCTION lat._cleanup_after_sense() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('sense', OLD.sense_id);
PERFORM lat._del_acts_for('sense', OLD.sense_id);
RETURN NULL;
END$$;

CREATE OR REPLACE FUNCTION lat._cleanup_after_chunk() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('chunk', OLD.chunk_id);
PERFORM lat._del_acts_for('chunk', OLD.chunk_id);
RETURN NULL;
END$$;

CREATE OR REPLACE FUNCTION lat._cleanup_after_memory() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('memory', OLD.mem_id);
PERFORM lat._del_acts_for('memory', OLD.mem_id);
RETURN NULL;
END$$;

CREATE OR REPLACE FUNCTION lat._cleanup_after_turn() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('turn', OLD.turn_id);
PERFORM lat._del_acts_for('turn', OLD.turn_id);
RETURN NULL;
END$$;

CREATE OR REPLACE FUNCTION lat._cleanup_after_doc() RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
PERFORM lat._del_edges_for('doc', OLD.doc_id);
PERFORM lat._del_acts_for('doc', OLD.doc_id);
RETURN NULL;
END$$;

— Trigger bindings (idempotent)
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_form') THEN
CREATE TRIGGER _lat_cleanup_form AFTER DELETE ON token.forms FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_form();
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_sense') THEN
CREATE TRIGGER _lat_cleanup_sense AFTER DELETE ON token.senses FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_sense();
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_chunk') THEN
CREATE TRIGGER _lat_cleanup_chunk AFTER DELETE ON content.chunks FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_chunk();
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_mem') THEN
CREATE TRIGGER _lat_cleanup_mem AFTER DELETE ON cog.memories FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_memory();
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_turn') THEN
CREATE TRIGGER _lat_cleanup_turn AFTER DELETE ON cog.turns FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_turn();
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_trigger WHERE tgname = '_lat_cleanup_doc') THEN
CREATE TRIGGER _lat_cleanup_doc AFTER DELETE ON content.documents FOR EACH ROW EXECUTE FUNCTION lat._cleanup_after_doc();
END IF;
END$$;

Okay, here's what I want to do. I don't want to add anything to our current database setup on that machine. I want to rip the whole fucking thing out. No postgrade, no pgvector, no anything left. And then reinstall from scratch, and then apply the schema.

As well, when we reinstall it, I want to change the name. I don't want to use Omega. I want to use Tokenspace. So it'll be the Tokenspace database. We're not going to do that tonight. I got the SQL rewritten just because I was so fucking pissed off. But now that that's ready, I'm going to wait till the morning and we'll go from there, okay? And maybe we can get past this database bullshit once and for all and just move on. At least I hope so, because I can't take much more of this, but the last one we erased a month and a half's worth of ingestion. I mean, this is ridiculous. We're going on like time number six here. I'm hoping this works out.

Yeah, well, there's nothing in there to dump. That's why we're doing this from scratch, so everything's absolutely perfectly clean with no leftover anything. So there's no reason to dump all. Dump all would have been the last time we did this, where we lost a month and a half's worth of 24-hour-a-day ingestion. That would have been where we needed to dump all. But I digress. In any case, we'll see you tomorrow.

So, we're starting a new day, and I want to preface this conversation, even though I'm using one we began with, with that this AI is to not be interacting with any outside services until such time as we decide to let it to. In other words, we don't want him having to use anybody else's tools. We want him to have his own. That being said, the database structure that is currently in here needs to come out. We'd like to remove the Postgre installation as well as the PG vector, then reinstall a fresh set and apply the brand new schema with the 768 whatever it is dimensions rather than the 1536. Are you ready to begin?If so, please remember that I have zero skills in this area. I have almost never or rarely worked with setting up databases and or in Linux, so if we need to switch between windows before executing commands, I'll need those instructions. Step by step.

Okay, well, I suppose you should hold off the entire list of instructions, and let's go through them just one at a time, and present each one as it comes up. Because, we've run into snag number one. And I'm sure we're going to do this a few times. So, let's not waste the context window.
darren@ougway:~/Desktop$ sudo apt install -y postgresql-14 postgresql-contrib postgresql-14-pgvector
Reading package lists… Done
Building dependency tree… Done
Reading state information… Done
E: Unable to locate package postgresql-14-pgvector
darren@ougway:~/Desktop$

darren@ougway:~/Desktop$ sudo apt install -y postgresql-server-dev-14 build-essential git
Reading package lists… Done
Building dependency tree… Done
Reading state information… Done
build-essential is already the newest version (12.9ubuntu3).
git is already the newest version (1:2.34.1-1ubuntu1.15).
postgresql-server-dev-14 is already the newest version (14.19-0ubuntu0.22.04.1).
0 upgraded, 0 newly installed, 0 to remove and 44 not upgraded.
darren@ougway:~/Desktop$ sudo pgxn install vector
sudo: pgxn: command not found
darren@ougway:~/Desktop$

darren@ougway:~/Desktop$ sudo apt install -y pgxnclient
Reading package lists… Done
Building dependency tree… Done
Reading state information… Done
The following NEW packages will be installed:
pgxnclient
0 upgraded, 1 newly installed, 0 to remove and 44 not upgraded.
Need to get 32.1 kB of archives.
After this operation, 162 kB of additional disk space will be used.
Get:1 http://us.archive.ubuntu.com/ubuntu jammy/universe amd64 pgxnclient all 1.3.2-2 [32.1 kB]
Fetched 32.1 kB in 0s (88.9 kB/s)
Selecting previously unselected package pgxnclient.
(Reading database … 253871 files and directories currently installed.)
Preparing to unpack …/pgxnclient_1.3.2-2_all.deb …
Unpacking pgxnclient (1.3.2-2) …
Setting up pgxnclient (1.3.2-2) …
Processing triggers for man-db (2.10.2-1) …
darren@ougway:~/Desktop$

darren@ougway:~/Desktop$ sudo -u postgres psql -c "CREATE EXTENSION IF NOT EXISTS vector;"
could not change directory to "/home/darren/Desktop": Permission denied
psql: error: connection to server on socket "/var/run/postgresql/.s.PGSQL.5432" failed: No such file or directory
Is the server running locally and accepting connections on that socket?
darren@ougway:~/Desktop$

darren@ougway:~/Desktop$ sudo apt install -y postgresql-14 postgresql-contrib
Reading package lists… Done
Building dependency tree… Done
Reading state information… Done
postgresql-contrib is already the newest version (14+238).
postgresql-14 is already the newest version (14.19-0ubuntu0.22.04.1).
postgresql-14 set to manually installed.
0 upgraded, 0 newly installed, 0 to remove and 44 not upgraded.
darren@ougway:~/Desktop$

darren@ougway:~/Desktop$ pg_lsclusters
Ver Cluster Port Status Owner Data directory Log file
darren@ougway:~/Desktop$