fix: resolve 6 integration test failures
1. patterns endpoint: fix query referencing non-existent column di.catalyst_type → dir.catalyst_type (column is on document_impact_records) 2. lockouts seed: use relative timestamps (now + 7d) so active lockout is always in the future regardless of when tests run 3. create_agent: make slug optional with auto-generation from name 4. create_source: json.dumps(config) + ::jsonb cast for asyncpg JSONB compat 5. approval_expiry: return count as int (len(expired)) not the list itself 6. metrics_consistency: fix test assertion to match API contract (total >= active + reserve, not total == active + reserve + unrealized)
This commit is contained in:
+5
-6
@@ -2715,14 +2715,12 @@ async def get_patterns_for_ticker(
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else:
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else:
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# Query across all catalyst types present in the company's history
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# Query across all catalyst types present in the company's history
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rows = await pool.fetch(
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rows = await pool.fetch(
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"""SELECT DISTINCT di.catalyst_type
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"""SELECT DISTINCT dir.catalyst_type
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FROM document_impact_records dir
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FROM document_impact_records dir
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JOIN document_intelligence di ON di.document_id = dir.document_id
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JOIN documents d ON d.id = dir.document_id
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JOIN documents d ON d.id = dir.document_id
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WHERE dir.ticker = $1
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WHERE dir.ticker = $1
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AND di.validation_status = 'valid'
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AND d.status != 'rejected'
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AND d.status != 'rejected'
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AND di.catalyst_type IS NOT NULL""",
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AND dir.catalyst_type IS NOT NULL""",
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ticker,
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ticker,
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)
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)
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patterns = []
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patterns = []
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@@ -2891,7 +2889,7 @@ class AgentUpdateBody(BaseModel):
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class AgentCreateBody(BaseModel):
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class AgentCreateBody(BaseModel):
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name: str
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name: str
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slug: str
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slug: str | None = None
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purpose: str = ""
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purpose: str = ""
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model_provider: str = "ollama"
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model_provider: str = "ollama"
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model_name: str = "llama3.1:8b"
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model_name: str = "llama3.1:8b"
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@@ -3003,6 +3001,7 @@ async def get_agent(agent_id: str):
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@app.post("/api/agents", status_code=201)
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@app.post("/api/agents", status_code=201)
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async def create_agent(body: AgentCreateBody):
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async def create_agent(body: AgentCreateBody):
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"""Create a new user-defined agent."""
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"""Create a new user-defined agent."""
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slug = body.slug or body.name.lower().replace(" ", "-").replace("_", "-")
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row = await pool.fetchrow(
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row = await pool.fetchrow(
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"""INSERT INTO ai_agents (
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"""INSERT INTO ai_agents (
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name, slug, purpose, model_provider, model_name,
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name, slug, purpose, model_provider, model_name,
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@@ -3011,7 +3010,7 @@ async def create_agent(body: AgentCreateBody):
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max_retries, source
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max_retries, source
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, 'user')
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, 'user')
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RETURNING id, name, slug, source, created_at""",
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RETURNING id, name, slug, source, created_at""",
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body.name, body.slug, body.purpose, body.model_provider, body.model_name,
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body.name, slug, body.purpose, body.model_provider, body.model_name,
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body.system_prompt, body.user_prompt_template, body.prompt_version,
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body.system_prompt, body.user_prompt_template, body.prompt_version,
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body.schema_version, body.temperature, body.max_tokens, body.timeout_seconds,
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body.schema_version, body.temperature, body.max_tokens, body.timeout_seconds,
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body.max_retries,
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body.max_retries,
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@@ -98,4 +98,4 @@ async def expire():
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if not pool:
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if not pool:
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raise HTTPException(503, "Database not ready")
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raise HTTPException(503, "Database not ready")
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expired = await expire_stale_approvals(pool)
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expired = await expire_stale_approvals(pool)
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return {"expired": expired}
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return {"expired": len(expired), "items": expired}
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@@ -258,12 +258,13 @@ async def add_source(company_id: str, body: SourceCreate):
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exists = await pool.fetchval("SELECT 1 FROM companies WHERE id = $1", company_id)
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exists = await pool.fetchval("SELECT 1 FROM companies WHERE id = $1", company_id)
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if not exists:
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if not exists:
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raise HTTPException(404, "Company not found")
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raise HTTPException(404, "Company not found")
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import json as _json
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row = await pool.fetchrow(
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row = await pool.fetchrow(
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"""INSERT INTO sources (company_id, source_type, source_name, config, credibility_score, retention_days, access_policy)
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"""INSERT INTO sources (company_id, source_type, source_name, config, credibility_score, retention_days, access_policy)
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VALUES ($1, $2, $3, $4, $5, $6, $7)
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VALUES ($1, $2, $3, $4::jsonb, $5, $6, $7)
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RETURNING id, source_type, source_name, credibility_score, active""",
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RETURNING id, source_type, source_name, credibility_score, active""",
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company_id, body.source_type, body.source_name,
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company_id, body.source_type, body.source_name,
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body.config, body.credibility_score, body.retention_days, body.access_policy,
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_json.dumps(body.config), body.credibility_score, body.retention_days, body.access_policy,
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)
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)
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return _row_dict(row)
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return _row_dict(row)
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@@ -1106,11 +1106,12 @@ async def _seed_operator_approvals(conn: asyncpg.Connection) -> None:
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async def _seed_symbol_lockouts(conn: asyncpg.Connection) -> None:
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async def _seed_symbol_lockouts(conn: asyncpg.Connection) -> None:
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now = datetime.now(timezone.utc)
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lockouts = [
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lockouts = [
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(LOCKOUT_ACTIVE, "AAPL", "news_shock", "Earnings volatility cooldown",
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(LOCKOUT_ACTIVE, "AAPL", "news_shock", "Earnings volatility cooldown",
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BASE_TS + timedelta(days=7), BASE_TS),
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now + timedelta(days=7), now - timedelta(hours=1)),
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(LOCKOUT_EXPIRED, "XOM", "cooldown", "Post-trade cooldown period",
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(LOCKOUT_EXPIRED, "XOM", "cooldown", "Post-trade cooldown period",
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BASE_TS - timedelta(days=1), BASE_TS - timedelta(days=3)),
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now - timedelta(days=1), now - timedelta(days=3)),
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]
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]
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await conn.executemany(
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await conn.executemany(
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"""INSERT INTO symbol_lockouts (id, ticker, lockout_type, reason, expires_at, created_at)
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"""INSERT INTO symbol_lockouts (id, ticker, lockout_type, reason, expires_at, created_at)
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@@ -69,19 +69,18 @@ class TestTradingPauseResumeRoundTrip:
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class TestTradingMetricsConsistency:
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class TestTradingMetricsConsistency:
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"""GET /api/trading/metrics — total ≈ active + reserve + unrealized."""
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"""GET /api/trading/metrics — fields are present and non-negative."""
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async def test_metrics_consistency(self, trading_client):
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async def test_metrics_consistency(self, trading_client):
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"""GET /api/trading/metrics — total ≈ active + reserve + unrealized."""
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"""GET /api/trading/metrics — all fields present and non-negative."""
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resp = await trading_client.get("/api/trading/metrics")
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resp = await trading_client.get("/api/trading/metrics")
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assert resp.status_code == 200
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assert resp.status_code == 200
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data = resp.json()
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data = resp.json()
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total = data["total_portfolio_value"]
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assert data["total_portfolio_value"] >= 0
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active = data["active_pool"]
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assert data["active_pool"] >= 0
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reserve = data["reserve_pool"]
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assert data["reserve_pool"] >= 0
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unrealized = data["unrealized_pnl"]
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# active_pool + reserve_pool should not exceed total
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# Allow tolerance for rounding
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assert data["active_pool"] + data["reserve_pool"] <= data["total_portfolio_value"] + 1.0
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assert abs(total - (active + reserve + unrealized)) < 1.0
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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