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fastapi-sqlalchemy-pg-catalog: minimal repro sample for keploy/integr…
AkashKumar7902 4becdde
fastapi-sqlalchemy-pg-catalog: tighten flow.sh + init.sql per Copilot…
AkashKumar7902 ec3174e
fastapi-sqlalchemy-pg-catalog: parameterize README + SQL_ECHO env knob
AkashKumar7902 3203a0a
fastapi-sqlalchemy-pg-catalog/app: clearer DATABASE_URL error + async…
AkashKumar7902 4316715
fastapi-sqlalchemy-pg-catalog: clarify simple-Query semantics on para…
AkashKumar7902 226009f
fastapi-sqlalchemy-pg-catalog/app: drop redundant future=True on crea…
AkashKumar7902 6e97dd3
fastapi-sqlalchemy-pg-catalog/app: dispose engine pool on lifespan sh…
AkashKumar7902 bd9cfc0
fastapi-sqlalchemy-pg-catalog/app: wrap create_all in the lifespan tr…
AkashKumar7902 7ae4d92
fastapi-sqlalchemy-pg-catalog/init.sql: clarify when NOT EXISTS actua…
AkashKumar7902 3ab1ea3
fastapi-sqlalchemy-pg-catalog/init.sql: drop NOT EXISTS — script only…
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| # fastapi-sqlalchemy-pg-catalog | ||
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| Minimal FastAPI + SQLAlchemy 2.x + psycopg2 + Postgres 13 sample that | ||
| reproduces the Postgres v3 dispatcher's simple-query `ClassCatalog` | ||
| asymmetry (keploy/integrations#193). | ||
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| ## What the bug looks like | ||
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| At app boot, SQLAlchemy's `Base.metadata.create_all(engine)` issues a | ||
| `pg_catalog.pg_class` probe per declared table to decide whether to | ||
| skip `CREATE TABLE`. psycopg2 sends the probe over the | ||
| **simple-query** protocol (`Q` packet) even though the source SQL is | ||
| parameterized — it substitutes the `%(param)s` placeholders | ||
| client-side and emits the resulting inlined SQL as a single | ||
| statement, with no `Bind`/`Execute` frames. So the wire shape is | ||
| simple-Query carrying inlined bind values; the recorded mock keeps | ||
| the parameter list for matching, but the dispatcher's classifier | ||
| sees a simple-Query CATALOG request. | ||
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| In `pkg/postgres/v3/replayer/dispatcher/dispatcher.go`: | ||
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| * The **extended-query** path (`runEngineForPortal`, `case | ||
| match.ClassCatalog`) consults the recorded transactional mock first | ||
| and only falls back to the synthetic `Engines.Catalog.Execute` on | ||
| miss. | ||
| * The **simple-query** path (`dispatchBySQLHash`, `case | ||
| match.ClassCatalog`) goes straight to the synthetic engine — even | ||
| though a recorded `type: query` mock with `class: CATALOG` and the | ||
| correct rows is sitting in `mocks.yaml`. | ||
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| With no `type: catalog` snapshot present, the synthetic engine | ||
| answers `rows: 0, cc: "SELECT 0"`. SQLAlchemy reads zero rows as | ||
| "table missing", issues `CREATE TABLE project ...`, and the | ||
| transactional engine misses (because the recording never captured a | ||
| CREATE TABLE — at record time the table already existed). The app | ||
| worker dies with `psycopg2.DatabaseError: keploy-pg-v3: no recorded | ||
| invocation matched`, every HTTP testcase that follows fails with | ||
| connection-reset. | ||
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| ## Reproducing locally | ||
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| ```bash | ||
| cd fastapi-sqlalchemy-pg-catalog | ||
| docker compose build | ||
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| # Baseline (no keploy) — should pass | ||
| docker compose up -d | ||
| bash flow.sh | ||
| docker compose down -v | ||
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| # Record | ||
| # Both keploy invocations below pass `--container-name "${APP_CONTAINER:-pg-catalog-repro-app}"` | ||
| # so they track whatever the compose file is rendering for the app | ||
| # service. If you've overridden APP_CONTAINER (e.g. to isolate | ||
| # concurrent runs), the same export reaches both keploy and compose. | ||
| ( bash flow.sh > flow-record.log 2>&1 ) & | ||
| sudo -E keploy record \ | ||
| -c "docker compose -f docker-compose.yml up" \ | ||
| --container-name "${APP_CONTAINER:-pg-catalog-repro-app}" \ | ||
| --cmd-type docker-compose \ | ||
| --record-timer 60s | ||
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| # Replay (pre-fix: FAILS with "no recorded invocation matched" on CREATE TABLE) | ||
| sudo -E keploy test \ | ||
| -c "docker compose -f docker-compose.yml up" \ | ||
| --container-name "${APP_CONTAINER:-pg-catalog-repro-app}" \ | ||
| --cmd-type docker-compose \ | ||
| --api-timeout 120 --delay 15 | ||
| ``` | ||
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| ## Layout | ||
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| | File | Purpose | | ||
| |-----------------------------|---------------------------------------------------------------------------| | ||
| | `app/main.py` | FastAPI app with one declarative `Project` model + lifespan create_all | | ||
| | `app/Dockerfile` | Python 3.12-slim + requirements | | ||
| | `app/requirements.txt` | fastapi, uvicorn, sqlalchemy 2.0.36, psycopg2-binary 2.9.10 | | ||
| | `docker-compose.yml` | postgres:13.22-alpine + app, app published at host port 8123 | | ||
| | `init.sql` | Pre-creates the `project` table so record-time create_all is a no-op | | ||
| | `flow.sh` | Drives `GET /health` and `GET /projects` against the app | | ||
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| ## Compose env knobs | ||
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| Set these to isolate concurrent runs (the CI lane drives a 3-cell | ||
| matrix on one Docker daemon and overrides each): | ||
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| | Env var | Default | Purpose | | ||
| |------------------|-------------------------|------------------------------------------| | ||
| | `APP_CONTAINER` | `pg-catalog-repro-app` | App container name (keploy `--container-name`) | | ||
| | `DB_CONTAINER` | `pg-catalog-repro-db` | Postgres container name | | ||
| | `APP_HOST_PORT` | `8123` | Host-side port mapped to app's 8000 | | ||
| | `COMPOSE_NET` | `reprnet` | Docker network name | | ||
|
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| ## Used by | ||
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| * `keploy/integrations` Woodpecker lane | ||
| `.woodpecker/sqlalchemy-pg-catalog-postgres.yml` | ||
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| FROM python:3.12-slim | ||
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| WORKDIR /app | ||
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| COPY requirements.txt . | ||
| RUN pip install --no-cache-dir -r requirements.txt | ||
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| COPY main.py . | ||
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| EXPOSE 8000 | ||
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| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--log-level", "info"] |
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| """ | ||
| Minimal FastAPI + SQLAlchemy + psycopg2 app that exercises the Postgres | ||
| v3 dispatcher's simple-query ClassCatalog branch via SQLAlchemy's | ||
| ``Base.metadata.create_all`` table-existence probe. | ||
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| Boot sequence: | ||
| 1. SQLAlchemy creates an engine over psycopg2. psycopg2 sends queries | ||
| via the simple-Query protocol (``Q`` packet) even when the source | ||
| SQL is parameterized: it does client-side ``%(param)s`` substitution | ||
| and emits the resulting string as a single inlined statement | ||
| (no ``Bind``/``Execute`` frames). | ||
| 2. ``Base.metadata.create_all(engine)`` issues one | ||
| ``SELECT pg_catalog.pg_class.relname ...`` probe per declared table | ||
| to decide whether each ``CREATE TABLE`` should be skipped. The | ||
| probe SQL has 7 parameters (table name, relkind chars, namespace); | ||
| psycopg2 inlines them before the wire write, so the dispatcher sees | ||
| a simple-Query statement that classifies as ``ClassCatalog``. | ||
| 3. FastAPI starts serving requests. | ||
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| The probe is what hits the dispatcher's ``case match.ClassCatalog`` | ||
| branch in ``pkg/postgres/v3/replayer/dispatcher/dispatcher.go`` | ||
| (simple-query path, ``dispatchBySQLHash``). | ||
| """ | ||
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| import asyncio | ||
| import logging | ||
| import os | ||
| import sys | ||
| from contextlib import asynccontextmanager | ||
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| from fastapi import FastAPI | ||
| from sqlalchemy import Column, Integer, String, create_engine, select | ||
| from sqlalchemy.orm import Session, declarative_base | ||
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| logging.basicConfig( | ||
| level=logging.INFO, | ||
| stream=sys.stdout, | ||
| format="%(asctime)s %(levelname)s %(name)s %(message)s", | ||
| ) | ||
| log = logging.getLogger("repro") | ||
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| DATABASE_URL = os.getenv("DATABASE_URL") | ||
| if not DATABASE_URL: | ||
| raise RuntimeError( | ||
| "DATABASE_URL is required (e.g. postgresql+psycopg2://user:pass@host:5432/db). " | ||
| "Set it in docker-compose env or in the host shell before launching uvicorn." | ||
| ) | ||
| # SQL echo is INTENTIONALLY on by default — this is a sample for | ||
| # demonstrating the dispatcher's simple-Query catalog path, and seeing | ||
| # the actual SQLAlchemy queries (pg_catalog.version, pg_class probe, | ||
| # CREATE TABLE on miss) in the app log is the load-bearing observation | ||
| # that lets a reader correlate the keploy agent log with what the app | ||
| # is doing. The trade-off: SQLAlchemy logs every statement at INFO, | ||
| # which is verbose in normal operation. Override SQL_ECHO=0 to quiet | ||
| # it down for unrelated investigations. | ||
| SQL_ECHO = os.environ.get("SQL_ECHO", "1") != "0" | ||
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| Base = declarative_base() | ||
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| class Project(Base): | ||
| __tablename__ = "project" | ||
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| id = Column(Integer, primary_key=True) | ||
| name = Column(String(100), nullable=False) | ||
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| # SQLAlchemy 2.x defaults to the future-2.0 behaviour, so no | ||
| # `future=True` is needed (and passing it can trip a deprecation | ||
| # warning depending on the installed minor version). | ||
| engine = create_engine(DATABASE_URL, echo=SQL_ECHO) | ||
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AkashKumar7902 marked this conversation as resolved.
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| @asynccontextmanager | ||
| async def lifespan(_: FastAPI): | ||
| # Wrap the startup work AND the yield in try/finally so | ||
| # engine.dispose() runs even when create_all raises — which is | ||
| # the exact failure mode this repro is built around (pre-fix | ||
| # keploy makes create_all issue an unrecorded CREATE TABLE that | ||
| # raises psycopg2.DatabaseError mid-startup; without the wrap, | ||
| # the connection pool would leak on every replay attempt). | ||
| try: | ||
| log.info("startup: running Base.metadata.create_all (pg_class probe expected)") | ||
| # create_all does synchronous psycopg2 I/O. Offload to a thread | ||
| # so uvicorn's event loop stays responsive (otherwise any other | ||
| # async work scheduled on startup would block until the pg_class | ||
| # probe + any CREATE TABLE round-trips complete). For this | ||
| # minimal repro the difference is small, but the pattern is the | ||
| # right FastAPI shape for any startup that touches a sync DB | ||
| # driver. | ||
| await asyncio.to_thread(Base.metadata.create_all, engine) | ||
| log.info("startup: create_all complete") | ||
| yield | ||
| finally: | ||
| # Release pooled connections on shutdown so repeated | ||
| # start/stop cycles (local repro loops, CI lanes) don't leak | ||
| # half-open connections to postgres. | ||
| engine.dispose() | ||
| log.info("shutdown: engine pool disposed") | ||
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| app = FastAPI(lifespan=lifespan) | ||
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| @app.get("/health") | ||
| def health(): | ||
| return {"ok": True} | ||
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| @app.get("/projects") | ||
| def list_projects(): | ||
| with Session(engine) as s: | ||
| rows = s.execute(select(Project)).scalars().all() | ||
| return [{"id": r.id, "name": r.name} for r in rows] | ||
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| fastapi==0.115.0 | ||
| uvicorn==0.30.6 | ||
| sqlalchemy==2.0.36 | ||
| psycopg2-binary==2.9.10 |
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| services: | ||
| postgres: | ||
| image: postgres:13.22-alpine | ||
| container_name: ${DB_CONTAINER:-pg-catalog-repro-db} | ||
| environment: | ||
| POSTGRES_PASSWORD: postgres | ||
| POSTGRES_DB: testdb | ||
| volumes: | ||
| - ./init.sql:/docker-entrypoint-initdb.d/init.sql:ro | ||
| networks: | ||
| - reprnet | ||
| healthcheck: | ||
| test: ["CMD-SHELL", "pg_isready -U postgres -d testdb"] | ||
| interval: 2s | ||
| timeout: 2s | ||
| retries: 30 | ||
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| app: | ||
| build: ./app | ||
| container_name: ${APP_CONTAINER:-pg-catalog-repro-app} | ||
| environment: | ||
| DATABASE_URL: postgresql+psycopg2://postgres:postgres@postgres:5432/testdb | ||
| depends_on: | ||
| postgres: | ||
| condition: service_healthy | ||
| ports: | ||
| - "${APP_HOST_PORT:-8123}:8000" | ||
| networks: | ||
| - reprnet | ||
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| networks: | ||
| reprnet: | ||
| name: ${COMPOSE_NET:-reprnet} | ||
| driver: bridge |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,33 @@ | ||
| #!/usr/bin/env bash | ||
| # Drives traffic during keploy record. Hits both endpoints. | ||
| set -Eeuo pipefail | ||
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| APP_HOST_PORT="${APP_HOST_PORT:-8123}" | ||
| APP_URL="${APP_URL:-http://localhost:${APP_HOST_PORT}}" | ||
| READY_TIMEOUT_S="${READY_TIMEOUT_S:-60}" | ||
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| echo "[flow] waiting for app at $APP_URL (ceiling ${READY_TIMEOUT_S}s) ..." | ||
| ready=0 | ||
| for i in $(seq 1 "$READY_TIMEOUT_S"); do | ||
| if curl -fsS --max-time 1 "$APP_URL/health" > /dev/null 2>&1; then | ||
| echo "[flow] app ready after ${i}s" | ||
| ready=1 | ||
| break | ||
| fi | ||
| sleep 1 | ||
| done | ||
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|
AkashKumar7902 marked this conversation as resolved.
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| if [ "$ready" -ne 1 ]; then | ||
| echo "[flow] ERROR: app never became ready at $APP_URL/health within ${READY_TIMEOUT_S}s" >&2 | ||
| exit 1 | ||
| fi | ||
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| echo "[flow] GET /health" | ||
| curl -fsS "$APP_URL/health" | ||
| echo | ||
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| echo "[flow] GET /projects" | ||
| curl -fsS "$APP_URL/projects" | ||
| echo | ||
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| echo "[flow] done" | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,20 @@ | ||
| -- Pre-create the `project` table so SQLAlchemy's create_all() sees it | ||
| -- exists at record time and skips CREATE TABLE. This is what the bug | ||
| -- (keploy/integrations#193) requires: at record time the pg_class | ||
| -- probe answers "table exists", so CREATE TABLE is never sent and | ||
| -- never recorded. At replay time, if the simple-query dispatcher path | ||
| -- skips the recorded mock, the synthetic catalog engine returns zero | ||
| -- rows, SQLAlchemy concludes "table missing", and issues an | ||
| -- unrecorded CREATE TABLE -- which then misses the transactional | ||
| -- engine, raises a DatabaseError, and kills app boot. | ||
| CREATE TABLE IF NOT EXISTS project ( | ||
| id SERIAL PRIMARY KEY, | ||
| name VARCHAR(100) NOT NULL | ||
| ); | ||
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| -- Seed the table. The Postgres entrypoint runs scripts under | ||
| -- /docker-entrypoint-initdb.d only on first init (empty data dir), | ||
| -- so this is single-shot on a clean container. If you reuse a stale | ||
| -- data volume, this script doesn't run at all — re-create the | ||
| -- volume (`docker compose down -v`) for a deterministic repro. | ||
| INSERT INTO project (name) VALUES ('seed'); |
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